Red Teaming AI and Quantum
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
-- Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface transforms, heralding a future rife with potential cyber threats.
-- Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
-- Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
Red Teaming Generative AI and Quantum CryptographyPetar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
1. Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface undergoes a transformation, heralding a future rife with potential cyber threats.
2. Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
3. Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds, yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the...Petar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Dr Petar Radanliev
Department of Computer Sciences
University of Oxford
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
ANALYSIS OF THE SECURITY OF BB84 BY MODEL CHECKINGIJNSA Journal
Quantum Cryptography or Quantum key distribution (QKD) is a technique that allows the secure distribution of a bit string, used as key in cryptographic protocols. When it was noted that quantum computers could break public key cryptosystems based on number theory extensive studies have been undertaken on QKD. Based on quantum mechanics, QKD offers unconditionally secure communication. Now, the progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years. Efforts are made to improve the performance and reliability of the implemented technologies. But several challenges remain despite this big progress. The task of how to test the apparatuses of QKD For example did not yet receive enough attention. These devises become complex and demand a big verification effort. In this paper we are interested in an approach based on the technique of probabilistic model checking for studying quantum information. Precisely, we use the PRISM tool to analyze the security of BB84 protocol and we are focused on the specific security property
of eavesdropping detection. We show that this property is affected by the parameters of quantum channel and the power of eavesdropper.
A SURVEY ON QUANTUM KEY DISTRIBUTION PROTOCOLSijcsa
Quantum cryptography is based on quantum mechanics to guarantee secure communication. It allows two
parties to produce a shared random bit string known only to them. These random bits can be used as a key
to encrypt and decrypt messages. The most important and unique property of quantum cryptography is the
ability of the two communicating users to detect the presence of any third party trying to gain knowledge of
the key. It is based on fundamental aspects of quantum mechanics. By using quantum entanglement or
quantum super positions and transmitting information in quantum states, a communication system can be
implemented which detects eavesdropping. Quantum cryptography is used to produce and distribute a key,
not to transmit any message data. This key along with certain encryption algorithm, is used to encrypt (and
decrypt) a message, which can then be transmitted over a standard communication channel. This paper
concentrates on comparison between classical and quantum cryptography as well as survey on various
quantum key distribution protocols used to generate and distribute the key among communicating parties.
With the introduction of quantum computing on the horizon, computer security organizations are stepping up research and development to defend against a new kind of computer power. Quantum computers pose a very real threat to the global information technology infrastructure of today. Many security implementations in use based on the difficulty for modern-day computers to perform large integer factorization. Utilizing a specialized algorithm such as mathematician Peter Shor’s, a quantum computer can compute large integer factoring in polynomial time versus classical computing’s sub-exponential time. This theoretical exponential increase in computing speed has prompted computer security experts around the world to begin preparing by devising new and improved cryptography methods. If the proper measures are not in place by the time full-scale quantum computers produced, the world’s governments and major enterprises could suffer from security breaches and the loss of massive amounts of encrypted data
Red Teaming Generative AI and Quantum CryptographyPetar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
1. Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface undergoes a transformation, heralding a future rife with potential cyber threats.
2. Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
3. Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds, yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the...Petar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Dr Petar Radanliev
Department of Computer Sciences
University of Oxford
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
ANALYSIS OF THE SECURITY OF BB84 BY MODEL CHECKINGIJNSA Journal
Quantum Cryptography or Quantum key distribution (QKD) is a technique that allows the secure distribution of a bit string, used as key in cryptographic protocols. When it was noted that quantum computers could break public key cryptosystems based on number theory extensive studies have been undertaken on QKD. Based on quantum mechanics, QKD offers unconditionally secure communication. Now, the progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years. Efforts are made to improve the performance and reliability of the implemented technologies. But several challenges remain despite this big progress. The task of how to test the apparatuses of QKD For example did not yet receive enough attention. These devises become complex and demand a big verification effort. In this paper we are interested in an approach based on the technique of probabilistic model checking for studying quantum information. Precisely, we use the PRISM tool to analyze the security of BB84 protocol and we are focused on the specific security property
of eavesdropping detection. We show that this property is affected by the parameters of quantum channel and the power of eavesdropper.
A SURVEY ON QUANTUM KEY DISTRIBUTION PROTOCOLSijcsa
Quantum cryptography is based on quantum mechanics to guarantee secure communication. It allows two
parties to produce a shared random bit string known only to them. These random bits can be used as a key
to encrypt and decrypt messages. The most important and unique property of quantum cryptography is the
ability of the two communicating users to detect the presence of any third party trying to gain knowledge of
the key. It is based on fundamental aspects of quantum mechanics. By using quantum entanglement or
quantum super positions and transmitting information in quantum states, a communication system can be
implemented which detects eavesdropping. Quantum cryptography is used to produce and distribute a key,
not to transmit any message data. This key along with certain encryption algorithm, is used to encrypt (and
decrypt) a message, which can then be transmitted over a standard communication channel. This paper
concentrates on comparison between classical and quantum cryptography as well as survey on various
quantum key distribution protocols used to generate and distribute the key among communicating parties.
With the introduction of quantum computing on the horizon, computer security organizations are stepping up research and development to defend against a new kind of computer power. Quantum computers pose a very real threat to the global information technology infrastructure of today. Many security implementations in use based on the difficulty for modern-day computers to perform large integer factorization. Utilizing a specialized algorithm such as mathematician Peter Shor’s, a quantum computer can compute large integer factoring in polynomial time versus classical computing’s sub-exponential time. This theoretical exponential increase in computing speed has prompted computer security experts around the world to begin preparing by devising new and improved cryptography methods. If the proper measures are not in place by the time full-scale quantum computers produced, the world’s governments and major enterprises could suffer from security breaches and the loss of massive amounts of encrypted data
VERIFICATION OF QUANTUM CRYPTOGRAPHY PROTOCOLS BY MODEL CHECKING1010ijnsa04IJNSA Journal
Unlike classical cryptography which is based on mathematical functions, Quantum Cryptography or Quantum Key Distribution (QKD) exploits the laws of quantum physics to offer unconditionally secure communication. The progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years and efforts are made to improve the performance and
reliability of the implemented technologies. But despite this big progress, several challenges remain. For example the task of how to test the devices of QKD did not yet receive enough attention. These apparatuses become heterogeneous, complex and so demand a big verification effort. In this paper we propose to study quantum cryptography protocols by applying the technique of probabilistic model checking. Using PRISM
tool, we analyze the security of BB84 protocol and we are focused on the specific security property of eavesdropper's information gain on the key derived from the implementation of this protocol. We show that this property is affected by the parameters of the eavesdropper’s power and the quantum channel.
Three Party Authenticated Key Distribution using Quantum CryptographyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Call for Chapters- Edited Book: Quantum Networks and Their Applications in AI...Christo Ananth
The research on Quantum Networked Artificial Intelligence is at the intersection of Quantum Information Science (QIS), Artificial Intelligence, Soft Computing, Computational Intelligence, Machine Learning, Deep Learning, Optimization, Etc. It Touches On Many Important Parts Of Near-Term Quantum Computing And Noisy Intermediate-Scale Quantum (NISQ) Devices. The research on quantum artificial intelligence is grounded in theories, modelling, and significant studies on hybrid classical-quantum algorithms using classical simulations, IBM Q services, PennyLane, Google Cirq, D-Wave quantum annealer etc. So far, the research on quantum artificial intelligence has given us the building blocks to achieve quantum advantage to solve problems in combinatorial optimization, soft computing, deep learning, and machine learning much faster than traditional classical computing. Solving these problems is important for making quantum computing useful for noise-resistant large-scale applications. This makes it much easier to see the big picture and helps with cutting-edge research across the quantum stack, making it an important part of any QIS effort. Researchers — almost daily — are making advances in the engineering and scientific challenges to create practical quantum networks powered with artificial intelligence
apidays LIVE London 2021 - API Security in Highly Volatile Threat Landscapes ...apidays
apidays LIVE London 2021 - Reaching Maximum Potential in Banking & Insurance with API Mindset
October 27 & 28, 2021
APIs in Finance: The Next Evolution
API Security in Highly Volatile Threat Landscapes
Xenia Bogomolec, Information Security Specialist at Quant-X Security & Coding GmbH
Quantum Cryptography Approach for Resolving Cyber Threatsijtsrd
The research work focused on the future of the internet security transaction without allowing unauthorized user from accessing the secret document. The system was implemented with python flask framework been the lightest micro framework. The quantum key distribution generator model used is the BB84. Users can create account one the sender and other receiver then peered together in single communication channel. The sender attach file and send it in an encrypted manner to be received by receiver on presenting the same quantum key used for encrypting it. Once the eavesdropper click the link of the protocol, an alarm is raised and the system quantum key is change instantly and committed into the database. The other application is the Quantum Simulator, this application is used for generating a simulation for a quantum cryptography. Madubuezi Christian Okoronkwo | Onwuzo J. C | Gregory E. Anichebe "Quantum Cryptography Approach for Resolving Cyber Threats" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46458.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/46458/quantum-cryptography-approach-for-resolving-cyber-threats/madubuezi-christian-okoronkwo
IMPROVING TLS SECURITY BY QUANTUM CRYPTOGRAPHYIJNSA Journal
Quantum Cryptography or Quantum Key Distribution (QKD) solves the key distribution problem by allowing the exchange of a cryptographic key between two remote parties with absolute security, guaranteed by the laws of quantum physics. Extensive studies have been undertaken on QKD since it was noted that quantum computers could break public key cryptosystems based on number theory. Actually, the progress of research in this field allows the implementation of QKD outside of laboratories. Efforts are made to exploit this technology in the existing communication networks and to improve the performance and reliability of the implemented technologies. Some research is in progress for the integration of QKD with the protocols in different layers of OSI model. The examples of such research effort are the integration of QKD in point-to-point protocol (PPP) OSI layer 2 and the integration of QKD with IPSEC at OSI layer-3. All these works are moving towards the utilization of QKD technology for enhancing the security of modern computing applications on the internet. In this paper, we present a
novel extension of the TLS protocol based on QKD. We introduce a scheme for integrating Quantum Cryptography in this protocol. Our approach improves the security of the process of authentication and data encryption. Also, we describe an example to illustrate the feasibility of our scheme’s implementation.
Inside TorrentLocker (Cryptolocker) Malware C&C Server Davide Cioccia
CryptoLocker was a ransomware trojan which targeted computers running Microsoft Windows and was first observed by Dell SecureWorks in September 2013. CryptoLocker propagated via infected email attachments, and via an existing botnet; when activated, the malware encrypts certain types of files stored on local and mounted network drives using RSA public-key cryptography, with the private key stored only on the malware's control servers. The malware then displays a message, which offers to decrypt the data if a payment (through either Bitcoin or a pre-paid cash voucher) is made by a stated deadline, and threatened to delete the private key if the deadline passes. If the deadline is not met, the malware offered to decrypt data via an online service provided by the malware's operators, for a significantly higher price in Bitcoin
Explore the new 2014 TorrentLocker and get inside his C&C server
4 th International Conference on Cloud Computing, Security and Blockchain (CL...Zac Darcy
4
th International Conference on Cloud Computing, Security and Blockchain (CLSB
2023) will act as a major forum for the presentation of innovative ideas, approaches,
developments, and research projects in the areas of Cloud computing, Security and
Blockchain. It will also serve to facilitate the exchange of information between researchers
and industry professionals to discuss the latest issues and advancement in the area of Cloud
Computing, Security and Blockchain.
Authors are solicited to contribute to the conference by submitting articles that illustrate
research results, projects, surveying works and industrial experiences that describe significant
advances in the following areas, but are not limited to.
Call for Papers- Special Session: Contemporary Innovations in Data Sciences, IoT and Computational Techniques
Dr. Shruti Aggarwal, Christo Ananth, Dr. Manik Rakhra
Thapar University, India
Professor, Samarkand State University, Uzbekistan
Lovely Professional University, India3
Companies and government agencies are gaining access to encryption solutions based on quantum mechanics concepts.
https://sites.google.com/view/i-technolog/home
A QUANTUM CRYPTOGRAPHY PROTOCOL FOR ACCESS CONTROL IN BIG DATAijcisjournal
Modern cryptography targeted towards providing data confidentiality still pose some limitations. The security of public-key cryptography is based on unproven assumptions associated with the hardness /complicatedness of certain mathematical problems. However, public-key cryptography is not unconditionally secure: there is no proof that the problems on which it is based are intractable or even that their complexity is not polynomial. Therefore, public-key cryptography is not immune to unexpectedly strong computational power or better cryptanalysis techniques. The strength of modern cryptography is being weakened and with advances of big data, could gradually be suppressed. Moreover, most of the currently used public-key cryptographic schemes could be cracked in polynomial time with a quantum computer. This paper presents a renewed focus in fortifying the confidentiality of big data by proposing a quantum-cryptographic protocol. A framework was constructed for realizing the protocol, considering some characteristics of big data and conceptualized using defined propositions and theorems.
A QUANTUM CRYPTOGRAPHY PROTOCOL FOR ACCESS CONTROL IN BIG DATAijcisjournal
Modern cryptography targeted towards providing data confidentiality still pose some limitations. The security of public-key cryptography is based on unproven assumptions associated with the hardness complicatedness of certain mathematical problems. However, public-key cryptography is not unconditionally secure: there is no proof that the problems on which it is based are intractable or even that their complexity is not polynomial. Therefore, public-key cryptography is not immune to unexpectedly strong computational power or better cryptanalysis techniques. The strength of modern cryptography is being weakened and with advances of big data, could gradually be suppressed. Moreover, most of the currently used public-key cryptographic schemes could be cracked in polynomial time with a quantum computer. This paper presents a renewed focus in fortifying the confidentiality of big data by proposing a quantum-cryptographic protocol. A framework was constructed for realizing the protocol, considering some characteristics of big data and conceptualized using defined propositions and theorems.
A brief presentation on Position-Based, Device-Independent and Post Quantum Cryptographies. Detailing Position-Based QC, defining Device-Independent QC and discussing Post Device-Independent.
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
Abstract: Cyber diplomacy is critical in dealing with the digital era's evolving cybersecurity dangers and possibilities. This article investigates the impact of Artificial Intelligence (AI), the Internet of Things (IoT), Blockchains, and Quantum Computing on cyber diplomacy. AI holds the potential for proactive threat identification and response, while IoT enables international information sharing. Blockchains enable secure data sharing and document verification, but they also pose new threats, such as AI-driven cyber-attacks, IoT privacy breaches, blockchain vulnerabilities, and the potential for quantum computing to break encryption. This article conducts case study reviews in combination with secondary data analysis and emphasises the value of international cooperation in developing global norms and frameworks to control responsible technology adoption. Cyber diplomacy can promote cybersecurity, protect national interests, and foster mutual trust among nations in the digital sphere by capitalising on possibilities and reducing threats.
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
VERIFICATION OF QUANTUM CRYPTOGRAPHY PROTOCOLS BY MODEL CHECKING1010ijnsa04IJNSA Journal
Unlike classical cryptography which is based on mathematical functions, Quantum Cryptography or Quantum Key Distribution (QKD) exploits the laws of quantum physics to offer unconditionally secure communication. The progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years and efforts are made to improve the performance and
reliability of the implemented technologies. But despite this big progress, several challenges remain. For example the task of how to test the devices of QKD did not yet receive enough attention. These apparatuses become heterogeneous, complex and so demand a big verification effort. In this paper we propose to study quantum cryptography protocols by applying the technique of probabilistic model checking. Using PRISM
tool, we analyze the security of BB84 protocol and we are focused on the specific security property of eavesdropper's information gain on the key derived from the implementation of this protocol. We show that this property is affected by the parameters of the eavesdropper’s power and the quantum channel.
Three Party Authenticated Key Distribution using Quantum CryptographyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Call for Chapters- Edited Book: Quantum Networks and Their Applications in AI...Christo Ananth
The research on Quantum Networked Artificial Intelligence is at the intersection of Quantum Information Science (QIS), Artificial Intelligence, Soft Computing, Computational Intelligence, Machine Learning, Deep Learning, Optimization, Etc. It Touches On Many Important Parts Of Near-Term Quantum Computing And Noisy Intermediate-Scale Quantum (NISQ) Devices. The research on quantum artificial intelligence is grounded in theories, modelling, and significant studies on hybrid classical-quantum algorithms using classical simulations, IBM Q services, PennyLane, Google Cirq, D-Wave quantum annealer etc. So far, the research on quantum artificial intelligence has given us the building blocks to achieve quantum advantage to solve problems in combinatorial optimization, soft computing, deep learning, and machine learning much faster than traditional classical computing. Solving these problems is important for making quantum computing useful for noise-resistant large-scale applications. This makes it much easier to see the big picture and helps with cutting-edge research across the quantum stack, making it an important part of any QIS effort. Researchers — almost daily — are making advances in the engineering and scientific challenges to create practical quantum networks powered with artificial intelligence
apidays LIVE London 2021 - API Security in Highly Volatile Threat Landscapes ...apidays
apidays LIVE London 2021 - Reaching Maximum Potential in Banking & Insurance with API Mindset
October 27 & 28, 2021
APIs in Finance: The Next Evolution
API Security in Highly Volatile Threat Landscapes
Xenia Bogomolec, Information Security Specialist at Quant-X Security & Coding GmbH
Quantum Cryptography Approach for Resolving Cyber Threatsijtsrd
The research work focused on the future of the internet security transaction without allowing unauthorized user from accessing the secret document. The system was implemented with python flask framework been the lightest micro framework. The quantum key distribution generator model used is the BB84. Users can create account one the sender and other receiver then peered together in single communication channel. The sender attach file and send it in an encrypted manner to be received by receiver on presenting the same quantum key used for encrypting it. Once the eavesdropper click the link of the protocol, an alarm is raised and the system quantum key is change instantly and committed into the database. The other application is the Quantum Simulator, this application is used for generating a simulation for a quantum cryptography. Madubuezi Christian Okoronkwo | Onwuzo J. C | Gregory E. Anichebe "Quantum Cryptography Approach for Resolving Cyber Threats" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46458.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/46458/quantum-cryptography-approach-for-resolving-cyber-threats/madubuezi-christian-okoronkwo
IMPROVING TLS SECURITY BY QUANTUM CRYPTOGRAPHYIJNSA Journal
Quantum Cryptography or Quantum Key Distribution (QKD) solves the key distribution problem by allowing the exchange of a cryptographic key between two remote parties with absolute security, guaranteed by the laws of quantum physics. Extensive studies have been undertaken on QKD since it was noted that quantum computers could break public key cryptosystems based on number theory. Actually, the progress of research in this field allows the implementation of QKD outside of laboratories. Efforts are made to exploit this technology in the existing communication networks and to improve the performance and reliability of the implemented technologies. Some research is in progress for the integration of QKD with the protocols in different layers of OSI model. The examples of such research effort are the integration of QKD in point-to-point protocol (PPP) OSI layer 2 and the integration of QKD with IPSEC at OSI layer-3. All these works are moving towards the utilization of QKD technology for enhancing the security of modern computing applications on the internet. In this paper, we present a
novel extension of the TLS protocol based on QKD. We introduce a scheme for integrating Quantum Cryptography in this protocol. Our approach improves the security of the process of authentication and data encryption. Also, we describe an example to illustrate the feasibility of our scheme’s implementation.
Inside TorrentLocker (Cryptolocker) Malware C&C Server Davide Cioccia
CryptoLocker was a ransomware trojan which targeted computers running Microsoft Windows and was first observed by Dell SecureWorks in September 2013. CryptoLocker propagated via infected email attachments, and via an existing botnet; when activated, the malware encrypts certain types of files stored on local and mounted network drives using RSA public-key cryptography, with the private key stored only on the malware's control servers. The malware then displays a message, which offers to decrypt the data if a payment (through either Bitcoin or a pre-paid cash voucher) is made by a stated deadline, and threatened to delete the private key if the deadline passes. If the deadline is not met, the malware offered to decrypt data via an online service provided by the malware's operators, for a significantly higher price in Bitcoin
Explore the new 2014 TorrentLocker and get inside his C&C server
4 th International Conference on Cloud Computing, Security and Blockchain (CL...Zac Darcy
4
th International Conference on Cloud Computing, Security and Blockchain (CLSB
2023) will act as a major forum for the presentation of innovative ideas, approaches,
developments, and research projects in the areas of Cloud computing, Security and
Blockchain. It will also serve to facilitate the exchange of information between researchers
and industry professionals to discuss the latest issues and advancement in the area of Cloud
Computing, Security and Blockchain.
Authors are solicited to contribute to the conference by submitting articles that illustrate
research results, projects, surveying works and industrial experiences that describe significant
advances in the following areas, but are not limited to.
Call for Papers- Special Session: Contemporary Innovations in Data Sciences, IoT and Computational Techniques
Dr. Shruti Aggarwal, Christo Ananth, Dr. Manik Rakhra
Thapar University, India
Professor, Samarkand State University, Uzbekistan
Lovely Professional University, India3
Companies and government agencies are gaining access to encryption solutions based on quantum mechanics concepts.
https://sites.google.com/view/i-technolog/home
A QUANTUM CRYPTOGRAPHY PROTOCOL FOR ACCESS CONTROL IN BIG DATAijcisjournal
Modern cryptography targeted towards providing data confidentiality still pose some limitations. The security of public-key cryptography is based on unproven assumptions associated with the hardness /complicatedness of certain mathematical problems. However, public-key cryptography is not unconditionally secure: there is no proof that the problems on which it is based are intractable or even that their complexity is not polynomial. Therefore, public-key cryptography is not immune to unexpectedly strong computational power or better cryptanalysis techniques. The strength of modern cryptography is being weakened and with advances of big data, could gradually be suppressed. Moreover, most of the currently used public-key cryptographic schemes could be cracked in polynomial time with a quantum computer. This paper presents a renewed focus in fortifying the confidentiality of big data by proposing a quantum-cryptographic protocol. A framework was constructed for realizing the protocol, considering some characteristics of big data and conceptualized using defined propositions and theorems.
A QUANTUM CRYPTOGRAPHY PROTOCOL FOR ACCESS CONTROL IN BIG DATAijcisjournal
Modern cryptography targeted towards providing data confidentiality still pose some limitations. The security of public-key cryptography is based on unproven assumptions associated with the hardness complicatedness of certain mathematical problems. However, public-key cryptography is not unconditionally secure: there is no proof that the problems on which it is based are intractable or even that their complexity is not polynomial. Therefore, public-key cryptography is not immune to unexpectedly strong computational power or better cryptanalysis techniques. The strength of modern cryptography is being weakened and with advances of big data, could gradually be suppressed. Moreover, most of the currently used public-key cryptographic schemes could be cracked in polynomial time with a quantum computer. This paper presents a renewed focus in fortifying the confidentiality of big data by proposing a quantum-cryptographic protocol. A framework was constructed for realizing the protocol, considering some characteristics of big data and conceptualized using defined propositions and theorems.
A brief presentation on Position-Based, Device-Independent and Post Quantum Cryptographies. Detailing Position-Based QC, defining Device-Independent QC and discussing Post Device-Independent.
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
Abstract: Cyber diplomacy is critical in dealing with the digital era's evolving cybersecurity dangers and possibilities. This article investigates the impact of Artificial Intelligence (AI), the Internet of Things (IoT), Blockchains, and Quantum Computing on cyber diplomacy. AI holds the potential for proactive threat identification and response, while IoT enables international information sharing. Blockchains enable secure data sharing and document verification, but they also pose new threats, such as AI-driven cyber-attacks, IoT privacy breaches, blockchain vulnerabilities, and the potential for quantum computing to break encryption. This article conducts case study reviews in combination with secondary data analysis and emphasises the value of international cooperation in developing global norms and frameworks to control responsible technology adoption. Cyber diplomacy can promote cybersecurity, protect national interests, and foster mutual trust among nations in the digital sphere by capitalising on possibilities and reducing threats.
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Values of Blockchain Technologies, assessing the Opportunities, and defining the Financial and Cybersecurity Risks of the Metaverse.
Ethics and Responsible AI Deployment
Abstract: As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical ethical issue that must be addressed. This article explores the need for ethical AI systems that safeguard individual privacy while complying with ethical standards. By taking a multidisciplinary approach, the research examines innovative algorithmic techniques such as differential privacy, homomorphic encryption, federated learning, international regulatory frameworks, and ethical guidelines. The study concludes that these algorithms effectively enhance privacy protection while balancing the utility of AI with the need to protect personal data. The article emphasises the importance of a comprehensive approach that combines technological innovation with ethical and regulatory strategies to harness the power of AI in a way that respects and protects individual privacy.
Artificial intelligence (AI) has the potential to significantly impact employment, social equity, and economic systems in ways that require careful ethical analysis and aggressive legislative measures to mitigate negative consequences. This means that the implications of AI in different industries, such as healthcare, finance, and transportation, must be carefully considered.
Due to the global nature of AI technology, global collaboration must be fostered to establish standards and regulatory frameworks that transcend national boundaries. This includes the establishment of ethical guidelines that AI researchers and developers worldwide should follow.
To address emergent ethical concerns with AI, future research must focus on several recommendations. Firstly, ethical considerations must be integrated into the design phase of AI systems and not treated as an afterthought. This is known as "Ethics by Design" and involves incorporating ethical standards during the development phase of AI systems to ensure that the technology aligns with ethical principles.
Secondly, interdisciplinary research that combines AI, ethics, law, social science, and other relevant domains should be promoted to produce well-rounded solutions to ethical dilemmas. This requires the participation of experts from different fields to identify and address ethical issues.
Thirdly, regulatory frameworks must be dynamic and adaptive to keep pace with the rapid evolution of AI technologies. This means that regulatory frameworks must be flexible enough to accommodate changes in AI technology while ensuring ethical standards are maintained.
Fourthly, empirical research should be conducted to understand the real-world implications of AI systems on individuals and society, which can then inform ethical principles and policies. This means that empirical data must be collected to understand how AI affects people in different contexts.
Finally, risk assessment procedures should be improved to better analyse the ethical hazards associated with AI applications.
Artificial Intelligence: Survey of Cybersecurity Capabilities, Ethical Concer...Petar Radanliev
The comprehensive survey articulates the multifaceted dimensions of Artificial Intelligence (AI), spanning its historical roots, advancements, and ethical dilemmas. It starts by tracing the intellectual lineage of AI to ancient mythology and proceeds to discuss the revolutionary contributions of Generative Pre-trained Transformers (GPT), particularly GPT-4, in problem-solving and real-world applications. The paper also delves into the darker applications of AI, including its role in cyberattacks and automated phishing. Various techniques of adversarial attacks that undermine AI systems, such as Fast Gradient Sign Method (FGSM), Jacobian-based Saliency Map Attack (JSMA), and Universal Adversarial Perturbations (UAP), are meticulously examined. The paper further expounds on Membership Inference Attacks (MIA), a significant privacy concern, and presents various strategies to defend against adversarial attacks. A global perspective on AI regulations, encompassing UK, New Zealand, the EU, and China policies, is also provided. It culminates in weighing the ethical considerations against the security risks in AI, contextualised by global crime statistics. This survey serves as an exhaustive resource for understanding AI's complexity, capabilities, and ethical implications, offering invaluable insights for researchers, policymakers, and industry experts.
Artificial Intelligence and Quantum Cryptography: A comprehensive analysis of...Petar Radanliev
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the future prospects of this interdisciplinary research area.
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
-- One of the main benefits of cyber intelligence sharing is the access to shared threat intelligence
Sharing threat intelligence on time allows for a faster and more effective reaction to cyber incidents, limiting the potential impact and minimising damage
Cyber threat intelligence sharing encourages a collaborative approach to cybersecurity, boosting collective defence efforts among organisations and nations
Sharing threat intelligence allows organisations to learn from each other's experiences, resulting in skill growth and enhanced knowledge in cybersecurity
Sharing cyber threat intelligence supports public-private cooperation, combining the skills and resources of both sectors to effectively tackle cyber threats
-- Cyber threat intelligence frequently originates in a variety of formats and patterns, making it challenging to consolidate and analyse data across several organisations efficiently.
-- CISCP is a United States government effort that promotes information sharing between federal agencies and private-sector organisations in order to improve cybersecurity
One ongoing academic effort is the Global Cyber Security Capacity Centre at the University of Oxford
GCSCC is a cybersecurity capacity-building centre, advocating an increase in the global scale, pace, quality, and impact of cybersecurity capacity-building activities.
-- Overcoming geopolitical tensions in cyber discussions is a difficult and delicate endeavour, but it is critical for developing international collaboration and effectively combating cyber threats
-- Diplomatic efforts should be directed towards identifying common ground and areas of mutual interest in cybersecurity
-- Creating avenues for regular communication and discussion can help nations create trust and understanding
-- Cyber diplomacy needs to be focused on encouraging joint research initiatives, cyber threat information exchange, and collaborative efforts to strengthen cybersecurity capabilities to build bridges and foster collaboration
Nations can collaborate to develop rules that improve cybersecurity while discouraging malevolent behaviour.
-- Several future developments are anticipated to affect the landscape of cyber diplomacy as the field of cybersecurity evolves
These developments will have a substantial impact on international cooperation, policy, and responses to growing cyber threats
One of the anticipated future trends is the emergence of international cyber norms
The creation of internationally recognised cyber norms will gain traction
Nations will work more closely together to develop common principles and standards guiding responsible state behaviour in cyberspace
Nations will need to address concerns such as AI ethics, the possible threats of autonomous cyber systems, and the development of rules for the appropriate use of AI in cyber operations.
Dance Movement Therapy in the Metaverse: A Fusion of Virtual Rhythms and Real Healing
In the vast expanse of the digital universe, where pixels and avatars reign supreme, there lies an unexpected sanctuary of healing: dance. The metaverse, a realm of virtual reality (VR), augmented reality (AR), and mixed reality (MR), is not just a playground for gamers and tech enthusiasts. It's emerging as a therapeutic space where the age-old art of dance is being reimagined. As our physical and digital worlds intertwine, dance in the metaverse is not only a testament to the evolution of art but also a beacon of hope for those grappling with mental health challenges. This immersive dance movement therapy, blending the boundaries of the real and virtual, offers not just an exhilarating physical exercise but also a transformative journey for the mind. Dive with us into this rhythmic odyssey, where every move is a step towards wellness.
Dance Movement Therapy in the Metaverse: A New Frontier for Mental HealthPetar Radanliev
-- Problem Background: Mental health issues, especially anxiety and depression, are rising globally. We need non-pharmacological interventions. This brings into light the potential of integrating alternative therapies in extended reality environments, such as the Metaverse.
-- Data Collection: Utilised wearable sensors to gather data on participants’ movements, physiological responses, and emotional feedback.
Methodology | AI and ML models: DeepDance model uses a combination of CNNs and RNNs to learn the temporal and spatial patterns of dance movements. The DeepDance model has been shown to be effective in classifying different types of dance movements, as well as in predicting the outcome of a dance performance.
-- Experimental approach: AI and ML models: Time Series Analysis
-- Key Findings: Dance Movement Therapy in extended reality environments shows potential as a beneficial alternative therapy.
Software Bill of Materials and the Vulnerability Exploitability eXchange Petar Radanliev
The UK and the U.S. are in a special relationship that requires compliance with cybersecurity regulations and cyber solid diplomacy. The Executive Order 14028 which imposes a compulsory requirement for Software Bill of Materials (SBOM), has exposed the need for deeper collaboration between the UK and the U.S. cybersecurity agencies.
We need a comprehensive cyber policy that prioritises cybersecurity as a top national priority for the UK. The UK and the U.S. have individually developed their forward-looking cybersecurity strategy to protect their critical infrastructure, businesses, and citizens from evolving cyber risks. The UK has fallen behind in following the U.S. requirements for Software Bill of Materials (SBOM) and cyber vulnerabilities. This exposes a gap in the UK and the U.S. cyber diplomacy and requires a new strategy that builds on existing collaborative efforts and shared expertise in countering cyber threats.
To bring the UK back on track with compliance with standards, legislations, and regulations in the U.S. and to strengthen the UK and the U.S. collective defence capabilities, the new strategy must prioritise improving information sharing, intelligence collaboration and collaborative cybersecurity exercises. This is particularly relevant and important in light of the difficulties SBOMs present in assuring software supply chain security.
This necessitates active participation in multilateral forums that advance cyber policy and advance global norms for cyberspace while also encouraging responsible state behaviour and addressing vulnerabilities in a coordinated fashion. The UK and the U.S. need to set the standard for promoting cyber resilience by creating a secure digital future not only for the UK and the U.S. but through coordinated efforts. The new strategy must also provide opportunities for engagement with the larger international community. The first step in doing this is to address the complexities of managing SBOMs and cyber vulnerabilities with the guiding principles of transparency, cooperation, and international stability in cyberspace.
When the level of cooperation and collaboration has been re-established, the problem of managing the vast volume of new vulnerabilities will be imposed on UK cybersecurity professionals. This study is designed to identify the solutions that would reduce the burden on U.S. cybersecurity professionals today, and the workloads on UK cybersecurity professionals in the future.
The solutions investigated in this study are based on using Generative Pre-Trained Transformers, Natural Language Processing, Artificial Intelligence, and other Machine Learning algorithms in Software Vulnerability Management. The objective of the study is to identify how such tools can be used for automations in the Software Bill of Materials (SBOM) and the Vulnerability-Exploitability eXchange (VEX).
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Value...Petar Radanliev
This paper contextualises the common queries of "why is crypto crashing?" and "why is crypto down?", the research transcends beyond the frequent market fluctuations to unravel how cryptocurrencies fundamentally work and the step-by-step process on how to create a cryptocurrency.
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Value...Petar Radanliev
The study examines blockchain technologies and their pivotal role in the evolving Metaverse, shedding light on topics such as how to invest in cryptocurrency, the mechanics behind crypto mining, and strategies to effectively buy and trade cryptocurrencies. Through an interdisciplinary approach, the research transitions from the fundamental principles of fintech investment strategies to the overarching implications of blockchain within the Metaverse. Alongside exploring machine learning potentials in financial sectors and risk assessment methodologies, the study critically assesses whether developed or developing nations are poised to reap greater benefits from these technologies. Moreover, it probes into both enduring and dubious crypto projects, drawing a distinct line between genuine blockchain applications and Ponzi-like schemes. The conclusion resolutely affirms the continuing dominance of blockchain technologies, underlined by a profound exploration of their intrinsic value and a reflective commentary by the author on the potential risks confCybersecurity Risks ronting individual investors.
Reference top the full article:
Radanliev, P., De Roure, D., Novitzky, P., Sluganovic, I., (2023): Disability and Rehabilitation: Assistive Technology, DOI: 10.1080/17483107.2023.2241882
Generative Pre-Trained Transformers, Natural Language Processing and Artificial Intelligence and Machine Learning (AI/ML) in cyber software vulnerability management: automations in the Software Bill of Materials (SBOM) and the Vulnerability-Exploitability eXchange (VEX)
Accessibility and Inclusiveness of New Information and Communication Technolo...Petar Radanliev
This article is focused on accessibility and inclusiveness of the new Metaverse(s). We conducted a detailed review of the existing standards and we cannot find anything that would ensure these technologies are inclusive of people with physical disabilities. This is the first step in providing some of the answers, and in this article, we discuss many new technologies that can assist disabled people to use the Metaverse(s). Although these technologies are not always designed with the intention of empowering disabled people, they can be used for that purpose, and the Metaverse concept is also empowering for disabled people, because they can work, socialise, and even get physical activity in the Metaverse.
Artificial Intelligence and the Internet of Things in Industry 4.0Petar Radanliev
This paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspec- tive. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic clas- sifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.
Artificial intelligence and machine learning in dynamic cyber risk analytics ...Petar Radanliev
We explore the potential and practical challenges in the use of artificial intelligence (AI) in cyber risk analytics, for improv- ing organisational resilience and understanding cyber risk. The research is focused on identifying the role of AI in con- nected devices such as Internet of Things (IoT) devices. Through literature review, we identify wide ranging and creative methodologies for cyber analytics and explore the risks of deliberately influencing or disrupting behaviours to socio- technical systems. This resulted in the modelling of the connections and interdependencies between a system’s edge components to both external and internal services and systems. We focus on proposals for models, infrastructures and frameworks of IoT systems found in both business reports and technical papers. We analyse this juxtaposition of related systems and technologies, in academic and industry papers published in the past 10 years. Then, we report the results of a qualitative empirical study that correlates the academic literature with key technological advances in connected devices. The work is based on grouping future and present techniques and presenting the results through a new con- ceptual framework. With the application of social science’s grounded theory, the framework details a new process for a prototype of AI-enabled dynamic cyber risk analytics at the edge.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
3. RED TEAMING GENERATIVE
AI/NLP, THE BB84 QUANTUM
CRYPTOGRAPHY PROTOCOL AND
THE NIST-APPROVED QUANTUM-
RESISTANT CRYPTOGRAPHIC
ALGORITHMS
4. Quantum Computing and
Artificial Intelligence
Abstract: In the contemporary digital age, Quantum
Computing and Artificial Intelligence convergence is
reshaping the cyber landscape, introducing both
unprecedented opportunities and potential vulnerabilities
Keywords: AI/NLP Vulnerability Detection, Quantum -
Resilient Protocols, Automated Quantum Pen-Testing Kits,
AI-Infused Platforms, Theoretical design, Knowledge
development, Cybersecurity, BB84 protocol, Quantum
computing, Cryptographic protocols, Ethics and
Responsibility
5. Introduction: Quantum
Technology, AI, and the Evolving
Cybersecurity Landscape
In the contemporary technological epoch, the
rapid evolution of Quantum Computing and
Artificial Intelligence is reshaping our digital
realm, expanding the cyber risk horizon
As we stand on the cusp of a quantum revolution,
the cyber-attack surface undergoes a
transformation, heralding a future rife with
potential cyber threats
6. Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's
harmonious and secure integration with the Quantum Internet
Central to our exploration is evaluating AI/Natural Language Processing models and
their interaction with quintessential quantum security protocols, notably the BB84
method and select NIST-endorsed algorithms
Leveraging the computational prowess of Python and C++, we aim to critically assess
the resilience of these quantum security paradigms by simulating AI -driven cyber-
attacks
7. Research Objectives
This vision encapsulates our primary objective: to ensure that
the digital advancements of the future, powered by AI, remain
benevolent and secure
This research study is crafted with a primary endeavour to
construct a formidable cybersecurity framework, aiming for
seamless integration between AI and the Quantum Internet
Our focal point lies in the rigorous safety assessments of
AI/NLP models and a comprehensive evaluation of quantum
computing security protocols, notably the BB84 method and
specific algorithms endorsed by NIST
8. Methodological Approach
Our research methodology is rooted in comprehensive literature reviews,
enabling a profound understanding of the current quantum communication
landscape and the inherent AI risks
We introduce AI elements by integrating Python and C++, probing for
potential vulnerabilities w ithin these security frameworks
Utilising AI models, enriched by datasets from esteemed sources such as
Cornell ArXiv and Penn Treebank, w e simulate cyber -attacks on these
quantum defences to uncover and fortify any detected vulnerabilities
Our objective over a meticulous five -year research trajectory is to champion
the cause of AI integrations that stand beneficial and intrinsically secure
9. Methodological Approach
Our first step to methodically undertake this challenge involves an
exhaustive literature review, gleaning insights into the present landscape of
quantum communication and associated AI vulnerabilities
10. Knowledge Dissemination and Broader Implications
We envision a global knowledge-sharing ecosystem, disseminating our findings through
diverse channels, from academic journals to public workshops
As we navigate the quantum future, the pertinence of our research will only amplify,
laying the groundwork for a secure and responsible quantum era
Our overarching aspiration is to ensure that as quantum technology permeates
industries, governments, and societies, its immense power is harnessed judiciously and
securely
12. Cryptography
Good cryptography depends on the hardness of the match
problem
Symmetric key cryptography is when one key is used to encrypt
and decrypt information, and the most well -known standard in
this category is the Advanced Encryption Standard , also known
as Rijndael , based on the name of the creator Vincent Rijmen
Asymmetric cryptography is also known as public -key
cryptography, uses two different keys, one is public key that is
used for encryption and is known to all, and second is the
private key that is used for decryption and is only known by one
party
13. Cryptography
The most famous algorithm for public-key cryptography is the RSA
cryptosystem developed in 1977 Other well-known and frequently used
algorithms include: the Digital Signature Algorithm , which is based on the
Schnorr and ElGamal signature schemes ; the Diffie–Hellman key exchange
over public channels ; or as others have referred to as a method for ‘secure
communications over insecure channels’ ; or the Elliptic-curve
cryptography that is based on algebraic structure of elliptic curves over
finite fields
14. Quantum cryptography
Quantum cryptography utilises specific physical law s to enhance the
computational complexity of mathematical algorithms for securing
information
Quantum cryptography exploits the so -called superposition of quantum
particles
The most w ell-known quantum cryptography protocol, "quantum key
distribution" , involves the transmission of a random sequence of quantum
bits or "qubits" betw een tw o parties
The best -known QKD is the BB84 protocol published by Bennett and
Brassard in 1984 IoT devices and other embedded systems w ith limited
computational pow er can find it particularly challenging to generate strong
cryptographic keys today
15. Aims and objectives
Risk scenario one is a future large-scale quantum computer that can be
used to attack the progress and development of protocol and hardware
implementation
Risk scenario two is what we can describe as a ‘time-travel’ attack, which
means that a future large-scale quantum computer can go back in time and
rewrite history, it could forge medical records and replace existing patient
records, it could cause a denial of service, or even replace the complete
history
17. Methodology to determine the
importance of the study
Our study is underpinned by the seminal pronouncements made at
the Black Hat and DEF CON 31 conferences by governmental
dignitaries and titans of the tech world
At DEF CON 31, a congregation witnessing our active participation
and logistical contribution in the Red Hat Village, the hacking
cohort, and pivotal stakeholders in Generative AI discourse
underwent a paradigmatic shift
On Black Hat's concluding day, the White House unexpectedly
disclosed its collaborative venture with AI luminaries - including
OpenAI, Google, Antrhopic, Hugging Face, Microsoft, Nvidia, and
Stability AI, culminating in a public appraisal of generative AI
ecosystems at DEF CON
18. Methodology to determine the quality of
the study
Our postulate asserts that a specialised red team approach,
amalgamating AI/NLP blueprints with the quantum cryptographic
tenets of the BB84 protocol and NIST-sanctioned algorithms,
unveils latent security lacunae, thereby fortifying quantum
internet infrastructure
Through the synergistic capabilities of C++ and Python, our
investigation is poised for intricate depth and adaptability to
surmount multifaceted quantum cryptographic enigmas
The methodological core is anchored in the versatile roles of
Python and C++, exemplifying their composite prowess in
achieving strategic orchestration and granular computational
might
19. Methodology to determine the potential impact
The expanding acclaim of large language models like ChatGPT indicates a
transformative phase in textual and communicative paradigms
In accord and conjunction with the White House's Office of Science, Technology, and
Policy, we are poised to helm a research expedition dedicated to the forensic
assessment of these emergent generative AI constructs
With the White House's explicit endorsement for such autonomous evaluative
endeavours , we posit our methodology, rooted in Red Teaming paradigms, as a beacon
aligning with the foundational principles of the Biden administration's AI Bill of Rights
and the AI Risk Management edicts decreed by the National Institute of Standards and
Technology
20. Timeliness Given Current Trends, Context, and Needs
During DEF CON 31, the AI Village's founder accentuated a crucial challenge: the
prevailing issues with Generative AI models remain unresolved owing to a knowledge
gap in their red team evaluation
Building upon insights from the PETRAS project , our study develops the design for
executing the UK's most comprehensive red team exercise on select AI models
Our study will differentiate from contemporaneous endeavours by targeting quantum
cryptography, emphasising the BB84 protocol and NIST's Quantum -Resistant
Cryptographic Algorithms
21. Impacts on World-leading Research, Society, Economy, or the
Environment
The intricacies of securing Large Language Models became strikingly
evident at DEF CON 31, where participants interacted with LLMs in a
controlled environment
Given DEF CON's massive participation, our research, conducted under the
stringent ethical and privacy standards of the University of Oxford, offers a
more secure avenue for assessing LLM vulnerabilities than a convention -
based approach
22. Impacts on World-leading Research, Society, Economy, or the
Environment
In Figure 2, the flowchart provides a visual representation of the research
methodology, starting with the initial research proposal and moving
through various stages, including theoretical design, background research,
objectives definition, model training, environment setup, penetration
testing, data collection, anomaly detection, reverse engineering, and
feedback integration
23. Review of Novel AI and Quantum technologies and their significance
The new design for penetration testing of Generative AI and Quantum computing can
produce several novel technologies in vulnerability management that could have wide -
ranging impacts
Advanced AI/NLP models focused on vulnerability detection in cryptographic algorithms
would be a significant step forward in cybersecurity
Our proposed design is poised to unveil new vulnerabilities, leading to improved
security of new technologies in the domain of vulnerability management, with potential
reverberations across diverse sectors
24. Red Teaming design
Identifyi ng v ulnerabilitie s in cryptog ra ph ic systems is critical for secure
communicati on in the digital age
T his approach lev erages Art if ici al Intelligence and Natural Language Processing
techniques to detect w eaknesses in cryptogr ap hi c algorithms
AI-d r iv en methods hav e the potential to redefine cybersecur it y standards,
making systems more reliable and secure
T raditional cryptogr ap hi c systems are v ulnerable to quantum computers, making
it necessary to dev elop quantum -res il ien t protocols to ensure safe
communicati on in a post -quantu m w orld
Cutting -e dg e solutions hav e emerged to tackle cybersecur i t y challenges,
harnessing the pow er of AI to optimise rev erse engineerin g tasks and facilitate
payload deliv ery systems that combat quantum exploits
25. Ethical penetration testing
Our primary objective is to establish a strong and reliable framework for the upcoming quantum internet era
We aim to ensure that all data transmissions remain secure and tamper -proof, w hich is crucial for building trust
in digital communication
We aim to foster an environment of cooperation w here shared know ledge is the driving force behind the
development of quantum -safe innovations
Our main goal is to navigate this unexplored territory and lay the foundation for a future w here the immense
potential of quantum computing can be fully realised w hile minimising any risks that may arise
Our objective is to strengthen the quantum internet and usher in a new era of research and innovation
27. Prototyping &
Development
I n o u r p u r s u i t t o e n h a n c e q u a n t u m c r y p t o g r a p h i c p r o t o c o l s , w e h a v e
s t r a t e g i c a l l y h a r n e s s e d t h e c o m b i n e d s t r e n g t h s o f P y t h o n a n d C + +
O u r f o c u s r e m a i n s o n t h e a d a p t a t i o n a n d e l e v a t i o n o f t h e r e n o w n e d B B 8 4
p r o t o c o l a n d o t h e r N I S T - e n d o r s e d q u a n t u m c r y p t o g r a p h i c m e t h o d o l o g i e s ,
a l g o r i t h m s , , a n d c r y p t o g r a p h i c m e c h a n i s m s ,
O u r a p p r o a c h t o m o d e l d e v e l o p m e n t i s r o o t e d i n l e v e r a g i n g c u t t i n g - e d g e A I / N L P
m o d e l s
U n d e r t h e u m b r e l l a o f G e n e r a t i v e A I / N L P I n t e g r a t i o n , o u r o b j e c t i v e i s t o e m p l o y
G e n e r a t i v e A I i n s i m u l a t i n g b o t h c o n v e n t i o n a l a n d m a l e v o l e n t u s e r b e h a v i o u r s
w i t h i n a q u a n t u m n e t w o r k e n v i r o n m e n t
O u r m e t h o d o l o g y i s a n c h o r e d i n i m p l e m e n t i n g a v a n t - g a r d e N L P t e c h n i q u e s , w i t h
a s p e c i f i c e m p h a s i s o n t r a n s f o r m e r - b a s e d m o d e l s s u c h a s G P T v a r i a n t s
28. Prototyping & Development
We aim to replicate the BB84 quantum key distribution protocol
meticulously, facilitating AI interactions
29. Theoretical Framework for Real-
world Quantum Network Testing:
Field Testing and Validation
Q u a n t u m N e t w o r k D y n a m i c s : D r a w i n g f r o m f o u n d a t i o n a l p r i n c i p l e s o f q u a n t u m
m e c h a n i c s a n d n e t w o r k t h e o r y , w e p o s t u l a t e q u a n t u m n e t w o r k s ' p o t e n t i a l
b e h a v i o u r s a n d c h a l l e n g e s i n r e a l - w o r l d s e t t i n g s
U s e r I n t e r a c t i o n w i t h Q u a n t u m S y s t e m s : G r o u n d e d i n h u m a n - c o m p u t e r
i n t e r a c t i o n t h e o r i e s , w e e x p l o r e t h e n u a n c e s o f e n d - u s e r e n g a g e m e n t w i t h
q u a n t u m s y s t e m s , f o c u s i n g o n u s a b i l i t y a n d p o t e n t i a l u s e r - t r i g g e r e d
v u l n e r a b i l i t i e s
C o l l a b o r a t i v e S i m u l a t i o n s : B y p a r t n e r i n g w i t h i n d u s t r y l e a d e r s , w e a i m t o
s i m u l a t e a u t h e n t i c n e t w o r k s c e n a r i o s , b r i d g i n g t h e g a p b e t w e e n t h e o r e t i c a l
p o s t u l a t i o n s a n d p r a c t i c a l a p p l i c a t i o n s
30. Theoretical Framework for Real-
world Quantum Network Testing:
Field Testing and Validation
S y n t h e t i c D a t a G e n e r a t i o n : T h i s a p p r o a c h , r o o t e d i n p r e d i c t i v e m o d e l l i n g ,
s e e k s t o e m u l a t e f u t u r e q u a n t u m n e t w o r k b e h a v i o u r s , o f f e r i n g i n s i g h t s i n t o
p r o s p e c t i v e c h a l l e n g e s a n d s o l u t i o n s
A I / N L P - D r i v e n Q u a n t u m N e t w o r k B e h a v i o u r s : I n t e g r a t i n g A I / N L P m o d e l s w i t h
q u a n t u m s i m u l a t i o n s o f f e r s a n o v e l p e r s p e c t i v e o n n e t w o r k t r a f f i c b e h a v i o u r s ,
b o t h t y p i c a l a n d a d v e r s a r i a l
U s e r - C e n t r i c Q u a n t u m S y s t e m D e s i g n : B y u n d e r s t a n d i n g e n d - u s e r i n t e r a c t i o n s
a n d f e e d b a c k , w e c a n t h e o r i s e o p t i m a l d e s i g n s f o r q u a n t u m s y s t e m s t h a t a r e
b o t h s e c u r e a n d u s e r - f r i e n d l y
P e r f o r m a n c e M e t r i c s i n Q u a n t u m N e t w o r k s : W e c a n d e v e l o p t h e o r i e s o n o p t i m a l
q u a n t u m n e t w o r k d e s i g n s b y i d e n t i f y i n g k e y i n d i c a t o r s s u c h a s d e t e c t i o n
e f f i c a c y a n d s y s t e m r o b u s t n e s s
31. Theoretical Framework for Real-world Quantum Network Testing: Field
Testing and Validation
User Feedback Analysis: A qualitative exploration of user feedback will
contribute to the theoretical understanding of user needs, challenges, and
potential system improvements in the quantum realm
32. Theoretical Framework for Post-
Evaluation and Iterative
Enhancement in Quantum-AI
Systems
I t e r a t i v e Q u a n t u m - A I S y s t e m D e s i g n : D r a w i n g f r o m i t e r a t i v e d e s i g n p r i n c i p l e s ,
w e p o s t u l a t e t h e s i g n i f i c a n c e o f c o n t i n u o u s r e f i n e m e n t i n q u a n t u m - A I s y s t e m s ,
e n s u r i n g t h e i r a d a p t a b i l i t y a n d r e s i l i e n c e
D o c u m e n t a t i o n a n d S t a n d a r d i s a t i o n i n Q u a n t u m R e s e a r c h : G r o u n d e d i n r e s e a r c h
d o c u m e n t a t i o n t h e o r i e s , w e e x p l o r e t h e i m p o r t a n c e o f t r a n s p a r e n t , r e p l i c a b l e ,
a n d s t a n d a r d i s e d r e s e a r c h p r a c t i c e s i n t h e q u a n t u m - A I d o m a i n
F e e d b a c k - D r i v e n D a t a C o l l e c t i o n : B y h a r n e s s i n g d a t a f r o m f i e l d t e s t i n g , U A T
f e e d b a c k , a n d e m e r g i n g r e s e a r c h , w e a i m t o c r e a t e a c o m p r e h e n s i v e d a t a s e t
t h a t i n f o r m s t h e i t e r a t i v e d e s i g n p r o c e s s
33. Theoretical Framework for Post-
Evaluation and Iterative
Enhancement in Quantum-AI
Systems
A n a l y t i c a l T o o l s a n d T e c h n i q u e s : U t i l i s i n g P y t h o n ' s a n a l y t i c a l c a p a b i l i t i e s a n d
C + + ' s c o m p u t a t i o n a l s t r e n g t h s , w e p r o p o s e a m e t h o d o l o g i c a l a p p r o a c h t o
s y s t e m a t i c a l l y i d e n t i f y a n d a d d r e s s a r e a s o f i m p r o v e m e n t
C o n t i n u o u s Q u a n t u m - A I S y s t e m O p t i m i s a t i o n : I n t e g r a t i n g f e e d b a c k a n d
p e r f o r m a n c e m e t r i c s , w e t h e o r i s e a n O p t i m i s a t i o n l o o p t h a t e n s u r e s t h e
e v o l u t i o n a n d r e l e v a n c e o f q u a n t u m - A I s y s t e m s
R e s e a r c h D o c u m e n t a t i o n i n Q u a n t u m C o m p u t i n g : B y c o l l a t i n g r e s e a r c h n o t e s ,
d a t a s e t s , a n d e v a l u a t i o n s , w e p r o p o s e a s t r u c t u r e d a p p r o a c h t o d o c u m e n t i n g
q u a n t u m - A I r e s e a r c h , e n s u r i n g i t s t r a n s p a r e n c y , r e p l i c a b i l i t y , a n d r e l e v a n c e f o r
f u t u r e e n d e a v o u r s
34. Theoretical Framework for Post-
Evaluation and Iterative
Enhancement in Quantum-AI
Systems
Performance Metrics in Iterative Design: By comparing
post-optimisation metrics against established
benchmarks, w e aim to develop theories on the
effectiveness of iterative design in quantum-AI systems
Peer Review in Quantum Research Documentation: A
qualitative exploration of peer reviews w ill contribute to
the theoretical understanding of research transparency,
comprehensibility, and replicability in the quantum-AI
domain
35. Theoretical Framework for Collaborative Red
Teaming in Quantum-AI Systems
Stakeholder-Centric Red Teaming: Draw ing from stakeholder theory, w e
postulate the significance of continuous engagement w ith key stakeholders
in shaping and refining the red teaming process
Adaptive Threat Landscapes: Grounded in adaptive systems theory, w e
explore the dynamics of threat environments that evolve in real -time,
informed by AI/NLP feedback
Countermeasure Design and Iteration: Leveraging iterative design
principles, w e delve into the processes of identifying vulnerabilities and
crafting efficient countermeasures
Collaborative AI Learning: Based on collaborative learning theories, w e
propose harnessing the collective intelligence of multiple AI models and
expert insights to enhance threat simulation realism
36. Theoretical Framework for Collaborative Red
Teaming in Quantum-AI Systems
Stakeholder Engagement Platforms: We use communication platforms for
virtual engagements and Python -based tools for collaborative data
analysis to create a comprehensive feedback mechanism
Real-time AI/NLP Feedback Systems: We envision a dynamic threat
environment that mirrors advanced persistent threats by allowing AI
models to adapt their strategies
Feedback-Driven Red Teaming: Integrating continuous stakeholder
feedback, w e theorise a red teaming approach that is both responsive and
comprehensive
Adaptive AI Threat Simulations: By allowing AI models to learn from their
actions, w e propose a threat simulation that evolves in real time, offering
a more realistic representation of potential threats
37. Theoretical Framework for
Collaborative Red Teaming in
Quantum-AI Systems
Iterative Countermeasure Design: Draw ing from the
identified vulnerabilities, w e theorise an iterative
approach to countermeasure design, ensuring maximum
efficiency and adaptability
Ensemble Learning in Red Teaming: By pooling
know ledge from diverse AI models and expert insights,
w e propose a collaborative learning approach that
enhances the realism and depth of threat simulations
38. Theoretical Framework for Quantum Network
Behaviour Simulation and Refinement
Environment Scanning and Validation: By deploying Python
scripts, we theorise an approach to scan and validate the quantum
environment, ensuring its isolation and integrity
Efficient Quantum Simulation Development: Utilising C++'s
computational strengths, we propose the creation of a robust
quantum simulation backbone, overlaid with Python's scripting
capabilities for enhanced control and variability
Iterative Quantum Environment Optimisation: Drawing from
feedback loop theories, we postulate an iterative refinement
approach for the quantum environment, leveraging AI insights to
identify and rectify areas of enhancement
39. Theoretical Framework for Quantum Network
Behaviour Simulation and Refinement
Continuous Quantum Environment Monitoring: Python's
statistical and ML capabilities will be harnessed to establish
behavioural baselines and detect deviations, complemented by
C++'s efficiency for real-time anomaly detection
Exploit Analysis Tools: Tools like Radare2's r2pipe API, IDA
Pro, and Ghidra will be instrumental in dissecting and
understanding the intricacies of detected exploits
Dashboard Development for Real-time Insights: Visualisation
libraries like Matplotlib, Seaborn, or Dash will be pivotal in
presenting key metrics and findings
40. Theoretical Framework for Quantum Network Behaviour Simulation
and Refinement
Post-Testing Review Mechanisms: Python's data analysis and visualisation capabilities
will be harnessed to dissect findings and inform the review process, complemented by
interactive tools like Jupyter Notebooks
Rapid Implementation of Feedback: C++'s efficiency will be pivotal in swiftly
implementing changes to simulation environments and AI interaction routines, ensuring
quantum systems remain resilient against evolving threats
Feedback Integration in Quantum Red Teaming: By continuously gathering and
integrating feedback, we theorise an approach that ensures red teaming strategies
remain updated and relevant, addressing the ever -evolving threat landscape
41. Theoretical Framework for Quantum Network
Behaviour Simulation and Refinement
Interactive Quantum Red Teaming Reporting: Utilising
Python's Jupyter Notebooks, we propose a comprehensive
reporting methodology that offers clear insights,
narratives, and actionable findings from red teaming
activities
Swift Quantum System Refinements: Drawing from rapid
development principles, we postulate an approach that
swiftly implements feedback-driven changes, ensuring
quantum systems' resilience against contemporary threats
42. Discussion: Societal Benefits from Penetration Testing of Generative
AI and Quantum Computing
In today's rapidly evolving technological landscape, society must stay ahead of the curve and
ensure that the systems and solutions being developed are secure and advanced
One of the key areas of focus in this regard is quantum cryptography initiatives
By investing in research and development in this field, we can create solutions that are more
resistant to attacks and provide more security for individuals and organisations
Another important aspect of ensuring a safe digital environment is to examine the intricacies of the
AI threat landscape, particularly within quantum frameworks
By understanding the potential vulnerabilities and risks associated with these technologies, we
can better address and mitigate AI-driven cyber threats
43. Discussion: Societal Benefits from Penetration Testing of Generative
AI and Quantum Computing
This endeavour has the potential to bridge gaps between academia, technology giants, and
cybersecurity experts, leading to holistic solutions, knowledge sharing, and a more
interconnected and informed society
Investing in quantum cryptography initiatives and examining the AI threat landscape are
crucial to ensuring a safe and advanced technological future for us all
In the dynamic fields of quantum mechanics and cybersecurity, it is critical to consistently
fine-tune cryptographic protocols in response to emerging vulnerabilities
We utilise ethical theories and AI principles to investigate the importance of this alignment
44. Discussion: Societal Benefits from Penetration Testing of Generative
AI and Quantum Computing
Our first approach involves identifying vulnerabilities and refining
cryptographic protocols to address the ever-evolving threat landscape
45. Conclusion: Towards a
Secure Quantum-AI
Future
U p o n d e l v i n g d e e p e r i n t o t h e i n t r i c a t e i n t e r p l a y b e t w e e n Q u a n t u m
C o m p u t i n g , A r t i f i c i a l I n t e l l i g e n c e , a n d c yb e r s e c u r i t y, w e c a n
g l e a n s o m e n o t e w o r t h y i n s i g h t s
T h e s e t h r e e d o m a i n s a r e i n e x t r i c a b l y l i n k e d , a s t h e u n p r e c e d e n t e d
c o m p u t a t i o n a l p o w e r o f q u a n t u m c o m p u t i n g c a n g r e a t l y e n h a n c e A I
c a p a b i l i t i e s , w h i c h i n t u r n c a n b e h a r n e s s e d t o b o l s t e r
c yb e r s e c u r i t y m e a s u r e s
O u r r e s e a r c h u n d e r s c o r e s t h e i m p e r a t i v e o f p r o a c t i v e
c yb e r s e c u r i t y m e a s u r e s , e n s u r i n g t h a t t h e i m m e n s e p o w e r o f
q u a n t u m t e c h n o l o g y i s h a r n e s s e d j u d i c i o u s l y a n d s e c u r e l y
46. Limitations
Scope of Study: Our research primarily focused on the BB84 protocol and
specific NIST-approved algorithms
Data Limitations: The AI models w ere trained using datasets like Cornell
ArXiv and Penn Treebank
Technological Constraints: Our reliance on Python and C++ for
simulations, w hile efficient, might not capture the intricacies or
vulnerabilities present in other programming environments or real -world
quantum systems
Red Teaming Limitations: While our red teaming approach simulated
potential hacker activities, real -world cyber threats can be more diverse,
sophisticated, and unpredictable than those replicated in controlled
environments
47. Limitations
Generalisability: The findings, while pertinent to the
conditions and parameters of our study, might not be
universally applicable across different quantum or AI
configurations or in varied geopolitical or
technological contexts
Temporal Limitations: The rapid evolution of both
quantum computing and AI means that our findings,
though relevant now, may require periodic re-
evaluation to remain current in the face of
technological advancements