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International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Cryptography is a technique used today hiding any confidential information from the attack of an intruder. Today data communication mainly depends upon digital data communication, where prior requirement is data security, so that data should reach to the intended user. The protection of multimedia data, sensitive information like credit cards, banking transactions and social security numbers is becoming very important. The protection of these confidential data from unauthorized access can be done with many encryption techniques. So for providing data security many cryptography techniques are employed, such as symmetric and asymmetric techniques. In this review paper different asymmetric cryptography techniques, such as RSA (Rivest Shamir and Adleman), Diffie-Hellman, DSA (Digital Signature Algorithm), ECC (Elliptic curve cryptography) are analyzed. Also in this paper, a survey on existing work which uses different techniques for image encryption is done and a general introduction about cryptography is also given. This study extends the performance parameters used in encryption processes and analyzing on their security issues.
Cryptography in digital world offers three core area that protect you and your data from attempt theft, theft or an unauthorise use of your data and possible fraud. Cryptography cover these essential area; authentication, integrity, and confidentiality
Authentication; Authentication is a process in Cryptography that offers certificates as a solution, which are called “digital IDs,” coz they can be used to verify the identity of someone you don’t know. Hence it is upto you to decide whether someone is authentic or not.
Integrity; Integrity is about how you protect your data, corresponding to that certificates it can be used in another technique that’s “digital signatures”, to ensure that nobody can impersonate you. One can easily forge email, but its very hard to forge a digitally signed email message and so on it’s hard for someone to modify or manipulate a message that you have digitally signed.
Confidentiality; By using Cipher you can keep your information secret especially when you send sensitive data over a network. How can you be sure that nobody finds out about your financial transactions, or your personal records, or your other secret information? It can give you solution through “cipher”. A cipher is intelligent system that know how to encrypt and decrypt data. Before you send sensitive data over a network, or store it on a disk, you can encrypt it, which turns it unreadable. If you need the data again, you can use the cipher to decrypt the data. Now you are the only person that can be able to decrypt the data. If you’re sending data to someone, you can ensure that only that person is able to decrypt the message. Also It is important to learn about key data management, public and private key encryption, and how to includes a secure talk application that encrypts all data sent over the network.
Cryptographic Algorithms For Secure Data CommunicationCSCJournals
Personal privacy is of utmost importance in the global networked world. One of the best tools to help people safeguard their personal information is the use of cryptography. In this paper we present new cryptographic algorithms that employ the use of asymmetric keys. The proposed algorithms encipher message into nonlinear equations using public key and decipher by the intended party using private key. If a third party intercepted the message, it will be difficult to decipher it due to the multilevel ciphers of the proposed application.
METHODS TOWARD ENHANCING RSA ALGORITHM : A SURVEYIJNSA Journal
Cryptography defines different methods and technologies used in ensuring communication between two parties over any communication medium is secure, especially in presence of a third part. This is achieved through the use of several methods, such as encryption, decryption, signing, generating of pseudo-random numbers, among many others. Cryptography uses a key, or some sort of a password to either encrypt or decrypt a message that needs to be kept secret. This is made possible using two classes of key-based encryption and decryption algorithms, namely symmetric and asymmetric algorithms. The best known and the most widely used public key system is RSA. This algorithm comprises of three phases, which are the key generation phase, encryption phase, and the decryption phase. Owing to the advancement in computing technology, RSA is prone to some security risks, which makes it less secure. The following paper preview different proposals on different methods used to enhance the RSA algorithm and increase its security. Some of these enhancements include combining the RSA algorithm with Diffie-Hellman or ElGamal algorithm, modification of RSA to include three or four prime numbers, offline storage of generated keys, a secured algorithm for RSA where the message can be encrypted using dual encryption keys, etc.
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.
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.
More Related Content
Similar to Dr Petar Radanliev, PhD Thesis Department of Computer Sciences, University of Oxford
Cryptography is a technique used today hiding any confidential information from the attack of an intruder. Today data communication mainly depends upon digital data communication, where prior requirement is data security, so that data should reach to the intended user. The protection of multimedia data, sensitive information like credit cards, banking transactions and social security numbers is becoming very important. The protection of these confidential data from unauthorized access can be done with many encryption techniques. So for providing data security many cryptography techniques are employed, such as symmetric and asymmetric techniques. In this review paper different asymmetric cryptography techniques, such as RSA (Rivest Shamir and Adleman), Diffie-Hellman, DSA (Digital Signature Algorithm), ECC (Elliptic curve cryptography) are analyzed. Also in this paper, a survey on existing work which uses different techniques for image encryption is done and a general introduction about cryptography is also given. This study extends the performance parameters used in encryption processes and analyzing on their security issues.
Cryptography in digital world offers three core area that protect you and your data from attempt theft, theft or an unauthorise use of your data and possible fraud. Cryptography cover these essential area; authentication, integrity, and confidentiality
Authentication; Authentication is a process in Cryptography that offers certificates as a solution, which are called “digital IDs,” coz they can be used to verify the identity of someone you don’t know. Hence it is upto you to decide whether someone is authentic or not.
Integrity; Integrity is about how you protect your data, corresponding to that certificates it can be used in another technique that’s “digital signatures”, to ensure that nobody can impersonate you. One can easily forge email, but its very hard to forge a digitally signed email message and so on it’s hard for someone to modify or manipulate a message that you have digitally signed.
Confidentiality; By using Cipher you can keep your information secret especially when you send sensitive data over a network. How can you be sure that nobody finds out about your financial transactions, or your personal records, or your other secret information? It can give you solution through “cipher”. A cipher is intelligent system that know how to encrypt and decrypt data. Before you send sensitive data over a network, or store it on a disk, you can encrypt it, which turns it unreadable. If you need the data again, you can use the cipher to decrypt the data. Now you are the only person that can be able to decrypt the data. If you’re sending data to someone, you can ensure that only that person is able to decrypt the message. Also It is important to learn about key data management, public and private key encryption, and how to includes a secure talk application that encrypts all data sent over the network.
Cryptographic Algorithms For Secure Data CommunicationCSCJournals
Personal privacy is of utmost importance in the global networked world. One of the best tools to help people safeguard their personal information is the use of cryptography. In this paper we present new cryptographic algorithms that employ the use of asymmetric keys. The proposed algorithms encipher message into nonlinear equations using public key and decipher by the intended party using private key. If a third party intercepted the message, it will be difficult to decipher it due to the multilevel ciphers of the proposed application.
METHODS TOWARD ENHANCING RSA ALGORITHM : A SURVEYIJNSA Journal
Cryptography defines different methods and technologies used in ensuring communication between two parties over any communication medium is secure, especially in presence of a third part. This is achieved through the use of several methods, such as encryption, decryption, signing, generating of pseudo-random numbers, among many others. Cryptography uses a key, or some sort of a password to either encrypt or decrypt a message that needs to be kept secret. This is made possible using two classes of key-based encryption and decryption algorithms, namely symmetric and asymmetric algorithms. The best known and the most widely used public key system is RSA. This algorithm comprises of three phases, which are the key generation phase, encryption phase, and the decryption phase. Owing to the advancement in computing technology, RSA is prone to some security risks, which makes it less secure. The following paper preview different proposals on different methods used to enhance the RSA algorithm and increase its security. Some of these enhancements include combining the RSA algorithm with Diffie-Hellman or ElGamal algorithm, modification of RSA to include three or four prime numbers, offline storage of generated keys, a secured algorithm for RSA where the message can be encrypted using dual encryption keys, etc.
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.
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.
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.
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 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/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.
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)
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
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Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
3. Slide 1.1: Introduction to Cryptography
Cryptography from
Ancient Greek: kryptós
"hidden, secret"; and
γράφειν "to write", or -
λογία -logia, "study"
Cryptography
translated from its
original meaning in
Greek is ‘secret writing’
4. Cryptography vs
Cybersecurity – 3
key points
First point - good cryptography depends on the hardness of
the mathematical problem, in other words, the encryption is
only as strong as the mathematical problem of the specific
cryptographic algorithm
Second is the quality of implementation, because correct
implementation is fundamental in how secure the algorithm is
Third is the key secrecy, because secret keys need to be stored
somehow somewhere, usually by a centralised trusted authority
If you are a hacker and you are trying to hack a crypto system,
you will start with one of these three things, a hacker would try
to solve the math problem, look for vulnerabilities in the
implementation, or try to get access to the secret keys
5. Slide 1.2: Cryptography
and Romance
◦ Cryptography- the art of writing or solving
codes
◦ During the French revolution, the Queen of
France sent encrypted letter to her lover, and
encryption has been linked to love ever since
◦ Alice & Bob - The World’s Most Famous
Cryptographic Couple
◦ Alice and Bob are fictional characters originally
invented to make research in cryptology easier to
understand
◦ Eve, the passive and submissive eavesdropper
6. Slide 1.3: Romantic Cryptography
We show how Alice and Bob can
establish whether they love each
other, but without the
embarrassement of revealing that
they do if the other party does not
share their feelings
This is a “secure multiparty
computation” of the AND
function, where the participants
cooperate in producing the result
of the AND, but without learning
the input bit contributed by the
other party unless the result
implies it
7. Slide 1.3: Cultural Interpretations
of Alice and Bob
◦ In 2012, the computer scientist Srini
Parthasarathy wrote a document entitled “Alice
and Bob can go on a holiday!
9. Ancient Egypt
The oldest encryption
attempt known to
mankind dates back to the
kingdom of Egypt,
around two thousand
years before Christ
The first known evidence
of cryptography can be
traced to the use of
'hieroglyph' - a character
of the ancient Egyptian
writing system
10. Ancient Greece
◦ The ancient Greeks used a scytale, in which the
person sending a message wound a strip of cloth
around a stick
12. Ancient Rome
Julius Caesar used encryption in the days of the
Roman Empire to cipher letters and messages
Caesar Cipher: Named after Julius Caesar, who used
this method for secret military communications
Also known as a shift cipher, Caesar’s Code, or
Caesar Shift
Encipher- to convert a message or a piece of text
into coded form; encrypt
Decipher- To convert a text written in code, or a
coded signal, into normal language
14. Slide 1.6: Cryptography
throughout the History
◦ Enigma was a cipher device used by Nazi Germany's military
command to encode strategic messages before and during
World War II
◦ The most important codebreaking event of the war was the
successful decryption by the Allies of the German "Enigma"
Cipher
◦ Alan Turing credited as the father of computer science
◦ He was a British scientist and a pioneer in computer science
◦ During World War II, he developed a machine that helped break
the German Enigma code
◦ He also laid the groundwork for modern computing and
theorised about artificial intelligence
◦ After World War II, many of the first computers were created
to make or break codes
15. Slide 1.6:
Cryptography
throughout the
History
It is not true, as some books say, that NSA was a
“secret” organisation when it was established in
1952; however, there was little public awareness
of its work, and some people joked that the
initials stood for “No Such Agency
Cryptography + Cyber Security
Encryption Became Popular Long before the
Inception of the Internet
17. Symmetric
◦ 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 , selected by the
U.S
18. Asymmetric
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
The most famous algorithm for public-key cryptography is the RSA
cryptosystem developed in 1977
The Digital Signature Algorithm
Diffie–Hellman key exchange over public channels
the Elliptic-curve cryptography
19. Slide 1.8: Quantum Cryptography
Unlike cryptography, which relies on mathematical algorithms and computational complexity to secure
information, quantum cryptography is based on the laws of physics and the behaviour of quantum
particles
When we have a large-scale quantum computer built, it would break all public-key cryptography that is
widely used today
The most well-known quantum cryptography protocol "quantum key distribution" , involves the
transmission of a random sequence of quantum bits or "qubits" between two parties
The best known "quantum key distribution" is the BB84 protocol published by Bennett and Brassard
in
Quantum cryptography is unhackable
21. Definition of Public Key cryptography
Also known as
asymmetric cryptography
uses a pair of
mathematically related
keys: a public key and a
private key
Different than symmetric
cryptography, which uses
a single key for both
encryption and decryption
22. Importance of PK cryptography in
secure communications
◦ Secure communication and various
cryptographic functionalities, such as secure key
exchange, digital signatures, and encryption of
data
◦ Use cases include secure email, secure web
browsing , secure file transfer , and secure
messaging platforms
◦ Provides a mechanism for secure and
confidential communication between parties
without the need for a shared secret key
24. Explanation of key pair generation
The public and private keys are
mathematically linked in such a
way that the public key can be
derived from the private key,
but it is computationally
infeasible to determine the
private key from the public key
This property ensures the
security of the communication
and prevents unauthorized
access to the encrypted
information
25. Mathematical relationship between the two keys
The relationship between the
two keys is typically based on
mathematical operations that
are computationally easy in
one direction but
computationally difficult in the
reverse direction
This property ensures that
while the public key can be
easily derived from the private
key, it is practically impossible
to calculate the private key
from the public key
27. How encryption
with the public
key works
The sender prepares the message
they want to send to the
recipient
Using the recipient's public key,
the sender applies an encryption
algorithm to the message
28. How decryption with the private key works
Upon receiving the
encrypted message, the
recipient uses their private
key, which is kept secret,
to perform the decryption
process
The result of the
decryption process is the
original message, restored
to its original form
30. Use of PK cryptography for digital signatures
Document
Hashing
Hash
Encryption
Digital
Signature
Creation
Signature
Verification
Document
Hash
Calculation
Comparing
Hashes
33. Explanation of key exchange using PK cryptography
Key
Generation
Public Key
Exchange
Key
Encryption
Key
Decryption
Shared
Secret Key
34. Benefits of secure key exchange
Key exchange using PK
cryptography provides a secure
method for establishing a shared
secret key, enabling secure
communication and encryption of
sensitive information
It is widely used in various
protocols, such as Secure Sockets
Layer/Transport Layer Security for
secure web browsing, Secure Shell
for secure remote access, and
Virtual Private Networks for
secure communication over public
networks
36. Overview of the
RSA algorithm
In RSA, the mathematical relationship
is based on the difficulty of factoring
large numbers into their prime factors
The public key consists of a modulus
and an exponent
The decryption process, on the other
hand, involves raising the ciphertext to
the power of the private exponent and
taking the modulus
38. Introduction to
ECC and its
advantages over
RSA
Elliptic Curve Cryptography uses the
mathematical properties of elliptic
curves to establish the relationship
between the public and private keys
The public key is derived from a point
on the elliptic curve, while the private
key is a randomly chosen scalar value
The operations involved in ECC
ensure that it is extremely difficult to
calculate the private key from the
public key
40. Explanation of
the Diffie-
Hellman key
exchange
algorithm
The Diffie-Hellman key exchange
algorithm is a cryptographic protocol
developed by Whitfield Diffie and Martin
Hellman in 1976 and is widely used in
modern encryption systems
The goal of the Diffie-Hellman key
exchange is to enable secure
communication between two entities
without needing to pre-share a secret key
Instead, the parties can generate a shared
secret key by performing mathematical
operations on publicly exchanged
information
41. How it enables secure key exchange over an insecure
channel
The security of the Diffie-
Hellman key exchange relies on
the computational difficulty of the
discrete logarithm problem
While an eavesdropper can
intercept the public keys
exchanged between Alice and Bob,
it is computationally infeasible to
derive the secret numbers "a" and
"b" or the shared secret key "s"
from this information alone
48. Brute-force attack on PK cryptography
In a brute-force attack, an
attacker systematically tries
all possible private keys to
decrypt an encrypted
message
The strength of the PK
cryptography lies in the large
key space, which makes this
attack computationally
infeasible for sufficiently long
key sizes
49. IMPORTANCE OF KEY SIZE
IN PREVENTING
SUCCESSFUL BRUTE-FORCE
ATTACKS
Search Space Security Margins
51. Man-in-the-
middle attack on
PK cryptography
In a man-in-the-middle attack, an
attacker intercepts the
communication between two parties
and poses as each party to the other
The attacker can intercept the public
keys exchanged during the key
exchange process and replace them
with their own
MITM attacks can be mitigated by
using trusted public key
infrastructure and digital certificates
54. Side-channel attacks and their
impact on PK cryptography
◦ Side-channel attacks exploit information leaked
during the execution of a cryptographic
algorithm, such as timing information, power
consumption, or electromagnetic radiation
◦ By analysing these side-channel information, an
attacker can potentially extract the private key
◦ Countermeasures like constant-time
implementations and hardware protections can
be employed to mitigate side-channel attacks
57. Quantum
computing on PK
cryptography
Quantum computers have the potential to
break many of the currently used public
key algorithms, such as RSA and ECC
Shor's algorithm, for example, can
efficiently factor large numbers, which
breaks RSA
To mitigate quantum computing attacks,
post-quantum cryptography algorithms are
being developed and standardised, which
are resistant to attacks by quantum
computers
58. Shor's algorithm
and its impact on
RSA and ECC
Shor's algorithm is a quantum
algorithm developed by
mathematician Peter Shor in
ECC is also vulnerable to
attacks using Shor's algorithm
60. Importance of
protecting private
keys
PK cryptography relies on the secrecy of
the private key
If the private key is compromised, either
through theft or unauthorized access, an
attacker can decrypt any messages
encrypted with the corresponding public
key
It is crucial to protect private keys with
strong encryption and proper access
controls
63. Smart contracts and their applications
Smart contracts are self-
executing contracts with the
terms of the agreement
directly written into code
They run on blockchain
platforms, such as Ethereum,
and automatically execute
actions based on predefined
conditions without the need
for intermediaries
64. Blockchain in
supply chain
management
Smart contracts can enhance supply chain
management by automating and
streamlining processes
They enable transparent and efficient
tracking of goods, automatic verification
of transactions, and secure transfer of
ownership or payments based on
predefined conditions
Smart contracts can increase transparency,
reduce fraud, and improve overall supply
chain efficiency
65. Blockchain's potential for transparent governance and
voting systems
The examples listed are just a
few examples of how smart
contracts are being applied
across various industries
The versatility and automation
capabilities of smart contracts
make them a powerful tool for
creating trust, efficiency, and
transparency in a wide range
of applications
68. Quantum-
resistant
algorithms and
post-quantum
cryptography
The development and standardisation of
quantum-resistant algorithms are ongoing
Organisations such as the National
Institute of Standards and Technology in
the United States have initiated efforts to
evaluate and standardise post-quantum
cryptographic algorithms
This process involves rigorous analysis,
testing, and evaluation of various candidate
algorithms to determine their security,
efficiency, and suitability for different
applications
69. Preparing for the cybersecurity challenges posed
by quantum computing
76. Sources of information
used in the presentation
◦ National Institute of Standards and Technology
: Post-Quantum Cryptography: Matt Scholl:
https://www.nist.gov/blogs/taking-
measure/post-quantum-cryptography-qa-nists-
matt-scholl NIST Announces First Four
Quantum-Resistant Cryptographic Algorithms:
https://www.nist.gov/news-
events/news/2022/07/nist-announces-first-
four-quantum-resistant-cryptographic-
algorithms Post-Quantum Cryptography:
https://csrc.nist.gov/Projects/post-quantum-
cryptography/selected-algorithms-2022