The document discusses the influence of artificial intelligence and digital transformation on cybersecurity from four angles: 1) AI can be used to create smarter cybersecurity through tools like intrusion detection and malware analysis, 2) AI algorithms have vulnerabilities that could be exploited by attackers, 3) AI could be misused to enhance cyberattacks, and 4) AI can help fight cybercrime through applications like biometrics and digital forensics. Examples are provided for each angle discussing current research and applications.
The Ethics of Artificial Intelligence in Digital Ecosystemswashikmaryam
The ethics of AI go beyond just the technology itself. When we consider AI within the complex web of digital platforms and services (the digital ecosystem), new ethical concerns arise.
A big focus is on how AI decisions can be biased, reflecting the data it's trained on and potentially leading to discrimination. We also need to be mindful of privacy issues and how AI might be used to manipulate users.
To ensure ethical AI in digital ecosystems, we need to consider these potential pitfalls during development and use frameworks to make responsible choices. This includes reflecting on the decision-making process and how AI can be used for good.
Applications Of Artificial Intelligence Techniques To Combating Cyber Crimes ...Audrey Britton
This document summarizes research on applying artificial intelligence techniques to combat cyber crimes. It discusses how AI methods like neural networks, genetic algorithms, artificial immune systems, and intelligent agents have been used for intrusion detection and prevention. The document provides examples of existing applications, such as neural network systems for detecting distributed denial-of-service attacks, spam filtering, and identifying zombie computers. It also outlines desired characteristics for effective intrusion detection and prevention systems.
Harnessing Artificial Intelligence in Cybersecurity: Safeguarding Digital Fro...cyberprosocial
In today’s hyper-connected digital ecosystem, the intersection of artificial intelligence and cybersecurity has become a pivotal point in the ongoing battle against cyber threats. As cybercriminals employ increasingly sophisticated tactics to exploit vulnerabilities and infiltrate networks, organizations are turning to artificial intelligence as a proactive defense mechanism.
Applications of artificial intelligence techniques to combating cyber crimes ...ijaia
This document discusses applications of artificial intelligence techniques for combating cyber crimes. It provides an overview of how AI, including techniques like neural networks, intelligent agents, artificial immune systems, and machine learning, can help detect and prevent cyber attacks. Specifically, the document reviews research applying these AI methods to intrusion detection and prevention systems. It examines desired characteristics for effective intrusion detection and outlines some examples of existing work using artificial neural networks and intelligent agents for applications like denial of service detection, malware classification, and spam filtering.
Addressing Cybersecurity and Cybercrime via a co-evolutionary approach to red...Anna Gomez
The document discusses developing a socio-technical framework and software tools to reduce human-related cybersecurity risks through a co-evolutionary approach. The framework would [1] analyze behavioral co-evolution in cybersecurity ecosystems, [2] influence behaviors of various actors to reduce human weaknesses and turn humans into cybersecurity's strongest link. A key part is incentivizing cooperation from users, beneficiaries include cybersecurity educators, law enforcement, healthcare workers and more. Potential use cases discussed are healthcare, finance, and transport.
Artificial Intelligence in Cyber Security Research Paper Writing.pptxkellysmith617941
The risk of cyber security is one of the reasons why advancement in artificial intelligence is very important. If you understand the core of the subject and thinking of a topic for artificial intelligence in cyber security research paper writing, then our specialized team can help you.
The Ethics of Artificial Intelligence in Digital Ecosystemswashikmaryam
The ethics of AI go beyond just the technology itself. When we consider AI within the complex web of digital platforms and services (the digital ecosystem), new ethical concerns arise.
A big focus is on how AI decisions can be biased, reflecting the data it's trained on and potentially leading to discrimination. We also need to be mindful of privacy issues and how AI might be used to manipulate users.
To ensure ethical AI in digital ecosystems, we need to consider these potential pitfalls during development and use frameworks to make responsible choices. This includes reflecting on the decision-making process and how AI can be used for good.
Applications Of Artificial Intelligence Techniques To Combating Cyber Crimes ...Audrey Britton
This document summarizes research on applying artificial intelligence techniques to combat cyber crimes. It discusses how AI methods like neural networks, genetic algorithms, artificial immune systems, and intelligent agents have been used for intrusion detection and prevention. The document provides examples of existing applications, such as neural network systems for detecting distributed denial-of-service attacks, spam filtering, and identifying zombie computers. It also outlines desired characteristics for effective intrusion detection and prevention systems.
Harnessing Artificial Intelligence in Cybersecurity: Safeguarding Digital Fro...cyberprosocial
In today’s hyper-connected digital ecosystem, the intersection of artificial intelligence and cybersecurity has become a pivotal point in the ongoing battle against cyber threats. As cybercriminals employ increasingly sophisticated tactics to exploit vulnerabilities and infiltrate networks, organizations are turning to artificial intelligence as a proactive defense mechanism.
Applications of artificial intelligence techniques to combating cyber crimes ...ijaia
This document discusses applications of artificial intelligence techniques for combating cyber crimes. It provides an overview of how AI, including techniques like neural networks, intelligent agents, artificial immune systems, and machine learning, can help detect and prevent cyber attacks. Specifically, the document reviews research applying these AI methods to intrusion detection and prevention systems. It examines desired characteristics for effective intrusion detection and outlines some examples of existing work using artificial neural networks and intelligent agents for applications like denial of service detection, malware classification, and spam filtering.
Addressing Cybersecurity and Cybercrime via a co-evolutionary approach to red...Anna Gomez
The document discusses developing a socio-technical framework and software tools to reduce human-related cybersecurity risks through a co-evolutionary approach. The framework would [1] analyze behavioral co-evolution in cybersecurity ecosystems, [2] influence behaviors of various actors to reduce human weaknesses and turn humans into cybersecurity's strongest link. A key part is incentivizing cooperation from users, beneficiaries include cybersecurity educators, law enforcement, healthcare workers and more. Potential use cases discussed are healthcare, finance, and transport.
Artificial Intelligence in Cyber Security Research Paper Writing.pptxkellysmith617941
The risk of cyber security is one of the reasons why advancement in artificial intelligence is very important. If you understand the core of the subject and thinking of a topic for artificial intelligence in cyber security research paper writing, then our specialized team can help you.
AI shows promise to help address challenges in cybersecurity by automating tasks, enhancing human abilities, and detecting complex patterns that humans cannot. However, developing effective AI solutions is difficult and requires expertise in both cybersecurity and data science. When evaluating AI products, organizations should consider factors like data and training requirements, error rates, integration with existing tools and processes, and potential new risks introduced. While AI may help alleviate strain on security teams, its use is still nascent, and human oversight will likely remain important.
Impact of Generative AI in Cybersecurity - How can ISO/IEC 27032 help?PECB
Generative AI offers great opportunities for innovation in various industries. Hence, by adopting ISO/IEC 27032, you can enhance your cybersecurity resilience and efficiently address the risks associated with generative AI.
Amongst others, the webinar covers:
• AI & Privacy
• Generative AI, Models & Cybersecurity
• AI & ISO/IEC 27032
Presenters:
Christian Grafenauer
Anonymization expert, privacy engineer, data protection officer, LegalTech researcher (GDPR, Blockchain, AI) Christian Grafenauer is an accomplished privacy engineer, anonymization expert, and computer science specialist, currently serving as the project lead for anonymity assessments at techgdpr. With an extensive background as a senior architect in Blockchain for IBM and years of research in the field since 2013, Christian co-founded privacy by Blockchain design to explore the potential of Blockchain technology in revolutionizing privacy and internet infrastructure. As a dedicated advocate for integrating legal and computer science disciplines, Christian’s expertise in anonymization and GDPR compliance enables innovative AI applications, ensuring a seamless fusion of technology and governance, particularly in the realm of smart contracts. In his role at techgdpr, he supports technical compliance, Blockchain, and AI initiatives, along with anonymity assessments. Christian also represents consumer interests as a member of the national Blockchain and DTL standardization committee at din (German standardization institute) in ISO/TC 307.
Akin Johnson
Akin J. Johnson is a renowned Cybersecurity Expert, known for his expertise in protecting digital systems from potential threats. With over a decade of experience in the field, Akin has developed a deep understanding of the ever-evolving cyber landscape.
Akin is an advocate for cybersecurity awareness and frequently shares his knowledge through speaking engagements, workshops, and publications. He firmly believes in the importance of educating individuals and organizations on the best practices for safeguarding their digital assets.
Lucas Falivene
Lucas is a highly experienced cybersecurity professional with a solid base in business, information systems, information security, and cybersecurity policy-making. A former Fulbright scholar with a Master of Science degree in Information Security Policy and Management at Carnegie Mellon University (Highest distinction) and a Master's degree in Information Security at the University of Buenos Aires (Class rank 1st). Lucas has participated in several trainings conducted by the FBI, INTERPOL, OAS, and SEI/CERT as well as in the development of 4 cyber ISO national standards.
Date: July 26, 2023
YouTube Link: https://youtu.be/QPDcROniUcc
General studies with Integration of ethics with ICT.pptxHusseinKabaleke
1. The document discusses various topics related to information and communication technology (ICT) ethics including theories of ethics, applied ethics domains like bioethics and business ethics, challenges of the digital age, and specific issues regarding technologies like artificial intelligence, big data, internet of things, 5G, and autonomous vehicles.
2. It outlines ethical concerns regarding these technologies such as privacy, algorithmic bias, effects of AI decision-making, and public safety issues with autonomous vehicles.
3. The document provides examples of ethical dilemmas involving technologies like facial recognition misidentifying individuals, use of biometric data in insurance risk assessments, and potential health impacts of 5
This document outlines some of the key social and ethical issues related to artificial intelligence. It discusses how AI may lead to a loss of human control, safety and security risks, and threats to privacy from big data collection. Additionally, it examines the potential for mass unemployment, bias and inequality, and challenges around responsibility and explainability for AI systems. The document then explores specific ethical issues that can arise in applying AI within different domains like transportation, healthcare, finance, and law enforcement. It concludes by stating the importance of developing responsible AI through ethical guidelines and practices.
IRJET- Use of Artificial Intelligence in Cyber DefenceIRJET Journal
1. The document discusses the use of artificial intelligence in cyber defense to help address challenges from increasing cyber attacks and data due to growth in IoT and connected devices.
2. It describes three forms of AI - artificial narrow intelligence which focuses on single tasks, artificial general intelligence that can perform varied tasks like humans, and artificial super intelligence that exceeds human abilities.
3. AI helps cyber defense through machine learning to detect anomalies and threats, hardening defenses, transforming detection from signature-based to flexible methods, and assisting response by prioritizing risks and automating manual tasks.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
This document provides an overview of an artificial intelligence and intelligent systems course. It introduces topics that will be covered such as search, learning, data processing, machine learning, deep learning, and logic. It defines intelligence and the main sub-fields of AI like neural networks, evolutionary computation, vision, robotics, and expert systems. The document also discusses the three main goals of AI research and the Turing test for machine intelligence. It provides examples of AI applications in healthcare, automobiles, banking/finance, agriculture, and personal reading.
Cyber Security.
Watch my videos on snack here: --> --> http://sck.io/x-B1f0Iy
@ Kindly Follow my Instagram Page to discuss about your mental health problems-
-----> https://instagram.com/mentality_streak?utm_medium=copy_link
@ Appreciate my work:
-----> behance.net/burhanahmed1
Thank-you !
Top And Best Digital Marketing Agency With AIamdigitalmark15
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Artificial intelligence refers to machines simulating human intelligence through learning, reasoning, and self-correction. The field began in the 1950s with research into symbolic reasoning and problem solving. Over time, AI has evolved significantly with advances in machine learning, neural networks, and deep learning. AI can be categorized as narrow, general, or superintelligent depending on its capabilities. Applications of AI include healthcare, finance, transportation, manufacturing, and customer service. However, AI also presents challenges like perpetuating bias, displacing jobs, and potential security and existential risks that must be addressed.
"In 'Unleashing the Power of AI,' we delve into the transformative potential of artificial intelligence (AI) across industries and its profound impact on society. From revolutionizing healthcare with personalized medicine to optimizing transportation with autonomous vehicles, AI is reshaping how we live, work, and interact with technology. Join us as we explore the latest advancements, real-world applications, and ethical considerations driving the AI revolution forward, unlocking new opportunities and shaping the future of innovation."
The Transformative Role of Artificial Intelligence in Cybersecuritycyberprosocial
In an era dominated by digitization, the rise of Artificial Intelligence (AI) has been a game-changer in various domains. One area where AI has particularly shone is in the realm of cybersecurity. As the digital landscape expands, so do the threats associated with Artificial Intelligence in cybersecurity
Security in the age of Artificial IntelligenceFaction XYZ
The document discusses how artificial intelligence will impact security and introduces both opportunities and challenges. It describes current AI techniques like deep learning and how they are being applied to security domains such as malware detection, network anomaly detection, and insider threat detection. While AI has the potential to make systems more scalable and adaptive, it also introduces new vulnerabilities if misused to generate sophisticated attacks. The document argues for developing morality systems to ensure autonomous systems continue making moral decisions even if compromised.
IRJET- Intervention of Artificial Intelligence in Cyber SecurityIRJET Journal
This document discusses the use of artificial intelligence in cyber security to help defend against cyber attacks. It makes three key points:
1. Artificial intelligence can be used to detect cyber attacks even before they occur by learning patterns from historical cyber attack data and identifying abnormalities. It provides automated detection and response with minimal human intervention.
2. When encountering a new, unknown attack, AI uses machine learning techniques to try to defend against the attack, learn from it, and update its knowledge base to strengthen future defenses.
3. If properly implemented with thorough, up-to-date training data, AI can provide major benefits to cyber security like automated monitoring, rapid response times, and reducing costs. However, without
AI: The New Player in Cybersecurity (Nov. 08, 2023)Takeshi Takahashi
These slides outline how AI is influencing cybersecurity.
Note that they were used in the keynote speech at the event "Defense and Security 2023" held in Thailand on November 8, 2023.
Teacher Education: AI - Ethical, legal and societal implicationsSonja Aits
An overview over the ethical, societal and legal challenges connected to artificial intelligence from the Teacher Education Day at Lund University and Vattenhallen, Sweden 20211029
This document provides a history and overview of artificial intelligence (AI). It discusses early pioneers in AI such as Alan Turing and his introduction of the Turing Test. Key areas of AI research and applications are then summarized, including intelligent robotics, automated reasoning, authorizing financial transactions, diagnosing medical problems, and computer vision. The document also briefly outlines fields within AI like intelligent agents and pattern recognition. In closing, it emphasizes how AI is being used to configure hardware/software, schedule manufacturing, and process large amounts of data efficiently.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
AI shows promise to help address challenges in cybersecurity by automating tasks, enhancing human abilities, and detecting complex patterns that humans cannot. However, developing effective AI solutions is difficult and requires expertise in both cybersecurity and data science. When evaluating AI products, organizations should consider factors like data and training requirements, error rates, integration with existing tools and processes, and potential new risks introduced. While AI may help alleviate strain on security teams, its use is still nascent, and human oversight will likely remain important.
Impact of Generative AI in Cybersecurity - How can ISO/IEC 27032 help?PECB
Generative AI offers great opportunities for innovation in various industries. Hence, by adopting ISO/IEC 27032, you can enhance your cybersecurity resilience and efficiently address the risks associated with generative AI.
Amongst others, the webinar covers:
• AI & Privacy
• Generative AI, Models & Cybersecurity
• AI & ISO/IEC 27032
Presenters:
Christian Grafenauer
Anonymization expert, privacy engineer, data protection officer, LegalTech researcher (GDPR, Blockchain, AI) Christian Grafenauer is an accomplished privacy engineer, anonymization expert, and computer science specialist, currently serving as the project lead for anonymity assessments at techgdpr. With an extensive background as a senior architect in Blockchain for IBM and years of research in the field since 2013, Christian co-founded privacy by Blockchain design to explore the potential of Blockchain technology in revolutionizing privacy and internet infrastructure. As a dedicated advocate for integrating legal and computer science disciplines, Christian’s expertise in anonymization and GDPR compliance enables innovative AI applications, ensuring a seamless fusion of technology and governance, particularly in the realm of smart contracts. In his role at techgdpr, he supports technical compliance, Blockchain, and AI initiatives, along with anonymity assessments. Christian also represents consumer interests as a member of the national Blockchain and DTL standardization committee at din (German standardization institute) in ISO/TC 307.
Akin Johnson
Akin J. Johnson is a renowned Cybersecurity Expert, known for his expertise in protecting digital systems from potential threats. With over a decade of experience in the field, Akin has developed a deep understanding of the ever-evolving cyber landscape.
Akin is an advocate for cybersecurity awareness and frequently shares his knowledge through speaking engagements, workshops, and publications. He firmly believes in the importance of educating individuals and organizations on the best practices for safeguarding their digital assets.
Lucas Falivene
Lucas is a highly experienced cybersecurity professional with a solid base in business, information systems, information security, and cybersecurity policy-making. A former Fulbright scholar with a Master of Science degree in Information Security Policy and Management at Carnegie Mellon University (Highest distinction) and a Master's degree in Information Security at the University of Buenos Aires (Class rank 1st). Lucas has participated in several trainings conducted by the FBI, INTERPOL, OAS, and SEI/CERT as well as in the development of 4 cyber ISO national standards.
Date: July 26, 2023
YouTube Link: https://youtu.be/QPDcROniUcc
General studies with Integration of ethics with ICT.pptxHusseinKabaleke
1. The document discusses various topics related to information and communication technology (ICT) ethics including theories of ethics, applied ethics domains like bioethics and business ethics, challenges of the digital age, and specific issues regarding technologies like artificial intelligence, big data, internet of things, 5G, and autonomous vehicles.
2. It outlines ethical concerns regarding these technologies such as privacy, algorithmic bias, effects of AI decision-making, and public safety issues with autonomous vehicles.
3. The document provides examples of ethical dilemmas involving technologies like facial recognition misidentifying individuals, use of biometric data in insurance risk assessments, and potential health impacts of 5
This document outlines some of the key social and ethical issues related to artificial intelligence. It discusses how AI may lead to a loss of human control, safety and security risks, and threats to privacy from big data collection. Additionally, it examines the potential for mass unemployment, bias and inequality, and challenges around responsibility and explainability for AI systems. The document then explores specific ethical issues that can arise in applying AI within different domains like transportation, healthcare, finance, and law enforcement. It concludes by stating the importance of developing responsible AI through ethical guidelines and practices.
IRJET- Use of Artificial Intelligence in Cyber DefenceIRJET Journal
1. The document discusses the use of artificial intelligence in cyber defense to help address challenges from increasing cyber attacks and data due to growth in IoT and connected devices.
2. It describes three forms of AI - artificial narrow intelligence which focuses on single tasks, artificial general intelligence that can perform varied tasks like humans, and artificial super intelligence that exceeds human abilities.
3. AI helps cyber defense through machine learning to detect anomalies and threats, hardening defenses, transforming detection from signature-based to flexible methods, and assisting response by prioritizing risks and automating manual tasks.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
This document provides an overview of an artificial intelligence and intelligent systems course. It introduces topics that will be covered such as search, learning, data processing, machine learning, deep learning, and logic. It defines intelligence and the main sub-fields of AI like neural networks, evolutionary computation, vision, robotics, and expert systems. The document also discusses the three main goals of AI research and the Turing test for machine intelligence. It provides examples of AI applications in healthcare, automobiles, banking/finance, agriculture, and personal reading.
Cyber Security.
Watch my videos on snack here: --> --> http://sck.io/x-B1f0Iy
@ Kindly Follow my Instagram Page to discuss about your mental health problems-
-----> https://instagram.com/mentality_streak?utm_medium=copy_link
@ Appreciate my work:
-----> behance.net/burhanahmed1
Thank-you !
Top And Best Digital Marketing Agency With AIamdigitalmark15
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Artificial intelligence refers to machines simulating human intelligence through learning, reasoning, and self-correction. The field began in the 1950s with research into symbolic reasoning and problem solving. Over time, AI has evolved significantly with advances in machine learning, neural networks, and deep learning. AI can be categorized as narrow, general, or superintelligent depending on its capabilities. Applications of AI include healthcare, finance, transportation, manufacturing, and customer service. However, AI also presents challenges like perpetuating bias, displacing jobs, and potential security and existential risks that must be addressed.
"In 'Unleashing the Power of AI,' we delve into the transformative potential of artificial intelligence (AI) across industries and its profound impact on society. From revolutionizing healthcare with personalized medicine to optimizing transportation with autonomous vehicles, AI is reshaping how we live, work, and interact with technology. Join us as we explore the latest advancements, real-world applications, and ethical considerations driving the AI revolution forward, unlocking new opportunities and shaping the future of innovation."
The Transformative Role of Artificial Intelligence in Cybersecuritycyberprosocial
In an era dominated by digitization, the rise of Artificial Intelligence (AI) has been a game-changer in various domains. One area where AI has particularly shone is in the realm of cybersecurity. As the digital landscape expands, so do the threats associated with Artificial Intelligence in cybersecurity
Security in the age of Artificial IntelligenceFaction XYZ
The document discusses how artificial intelligence will impact security and introduces both opportunities and challenges. It describes current AI techniques like deep learning and how they are being applied to security domains such as malware detection, network anomaly detection, and insider threat detection. While AI has the potential to make systems more scalable and adaptive, it also introduces new vulnerabilities if misused to generate sophisticated attacks. The document argues for developing morality systems to ensure autonomous systems continue making moral decisions even if compromised.
IRJET- Intervention of Artificial Intelligence in Cyber SecurityIRJET Journal
This document discusses the use of artificial intelligence in cyber security to help defend against cyber attacks. It makes three key points:
1. Artificial intelligence can be used to detect cyber attacks even before they occur by learning patterns from historical cyber attack data and identifying abnormalities. It provides automated detection and response with minimal human intervention.
2. When encountering a new, unknown attack, AI uses machine learning techniques to try to defend against the attack, learn from it, and update its knowledge base to strengthen future defenses.
3. If properly implemented with thorough, up-to-date training data, AI can provide major benefits to cyber security like automated monitoring, rapid response times, and reducing costs. However, without
AI: The New Player in Cybersecurity (Nov. 08, 2023)Takeshi Takahashi
These slides outline how AI is influencing cybersecurity.
Note that they were used in the keynote speech at the event "Defense and Security 2023" held in Thailand on November 8, 2023.
Teacher Education: AI - Ethical, legal and societal implicationsSonja Aits
An overview over the ethical, societal and legal challenges connected to artificial intelligence from the Teacher Education Day at Lund University and Vattenhallen, Sweden 20211029
This document provides a history and overview of artificial intelligence (AI). It discusses early pioneers in AI such as Alan Turing and his introduction of the Turing Test. Key areas of AI research and applications are then summarized, including intelligent robotics, automated reasoning, authorizing financial transactions, diagnosing medical problems, and computer vision. The document also briefly outlines fields within AI like intelligent agents and pattern recognition. In closing, it emphasizes how AI is being used to configure hardware/software, schedule manufacturing, and process large amounts of data efficiently.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
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E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
3. 3
The Joint Research Centre
(JRC) at a glance
JRC's Mission
"As the science and knowledge service
of the Commission our mission is to
support EU policies with independent
evidence throughout the whole policy
cycle"
3000 staff
Almost 75% are scientists
and researchers.
Headquarters in Brussels
and research facilities
located in 5 Member States.
4. 4
Cyber & Digital Citizens’ Security Unit Mission
To strengthen trust and security of the European Citizen in a sustainable and
inclusive ICT-based European society by scientific research on how emerging
Information and Communication Technologies will impact on the security and
privacy of citizens’ daily life.
To work on risk mitigation, on cybersecurity, cybercrime, data
protection, privacy and on the associated legal and regulatory frameworks
aiming at a balance between European security needs and fundamental citizen
rights including from the perspective of the emerging Digital Single Market.
5. 5
European Commission's Joint Research Centre
(JRC) flagship report on Artificial Intelligence
Joint Research Centre’s report on Artificial Intelligence
(5 December 2018)
URL: https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-
research-reports/artificial-intelligence-european-perspective
ISBN: 978-92-79-97217-1 (online),978-92-79-97219-5 (print),978-92-79-98213-2
ISSN: 1831-9424 (online),1018-5593 (print),1831-9424
DOI: 10.2760/11251 (online); 10.2760/936974 (print);10.2760/91283
Coordinated Plan on Artificial Intelligence
(7 December 2018)
Communication from the Commission to the European Parliament, the European Council, the
Council, the European Economic and Social Committee and the Committee of the Regions -
Coordinated Plan on Artificial Intelligence (COM(2018) 795 final)
Communication Artificial Intelligence for Europe
(25 April 2018)
Communication from the Commission to the European Parliament, the European Council, the
Council, the European Economic and Social Committee and the Committee of the Regions on
Artificial Intelligence for Europe.
6. 6
Artificial Intelligence
European Commission's High-level expert group on Artificial Intelligence. "A definition of AI: main
capabilities and scientific disciplines", 18 December 2018
“Artificial intelligence (AI) refers to systems designed by humans that,
given a complex goal, act in the physical or digital world by perceiving
their environment, interpreting the collected structured or unstructured
data, reasoning on the knowledge derived from this data and deciding the
best action(s) to take (according to pre-defined parameters) to achieve
the given goal. AI systems can also be designed to learn to adapt their
behaviour by analysing how the environment is affected by their previous
actions.
As a scientific discipline, AI includes several approaches and
techniques, such as machine learning (of which deep learning and
reinforcement learning are specific examples), machine reasoning (which
includes planning, scheduling, knowledge representation and reasoning,
search, and optimization), and robotics (which includes control,
perception, sensors and actuators, as well as the integration of all other
techniques into cyber-physical systems).”
7. 7
Machine learning
AI
More
computing
power
More data
New
algorithms
What has changed?
A new paradigm
When using machine learning, human developers no longer program
an algorithm to tell the computer how to solve a given problem
but instead they program it to teach the computer to learn how
to solve the problem.
8. 8
Cybersecurity and AI & DT: 4 angles of influence
Conceptual model depicting the logical links between the different components of the
cybersecurity risk in the context of the influence of AI and Digital Transformation
Opportunities Challenges
Resilience
1. AI to create smarter
cybersecurity
E.g. more effective security controls
(antivirus, intrusion detection and
prevention, email scanning),
automatic discovery of vulnerabilities,
automatic malware analysis, smarter
cyber defence, etc.
2. Robustness/Vulnerability
of AI algorithms
E.g. adversarial machine learning (i.e.
exploitation of weaknesses in AI
algorithms to change their behavior),
attacks against AI powered cyber-
physical systems, etc.
Deterrence
4. Use of AI to fight cyber
attackers & criminals
E.g. better biometrics, smarter
forensics, fraud analysis, encryption
challenge, fight against fake news,
etc.
3. Misuse of AI
E.g. creation of deep audio video
fakes, AI powered malware, smarter
social engineering attacks, etc.
3
4
2
1
9. 9
ANGLE 1 | Smarter Cybersecurity
Smarter cybersecurity controls
• Better biometric controls
• Network Intrusion Detection and
Prevention systems
• Malware detection
• Email filters (spam, phishing, etc.)
Automatization in labour intensive tasks
• Automatic discovery of vulnerabilities
• Automatic exploitation of vulnerabilities
• AI applied to malware analysis
• Security logs and event correlation
• Automatization of security operations
(e.g. incident response)
• Cybersecurity exercises
(attack/defense) and training
• Awareness raising
AI to create smarter cybersecurity
10. 10
DARPA Cyber Grand Challenge (CGC)
URL: https://www.darpa.mil/program/cyber-grand-challenge
ANGLE 1 Example | Smarter Cybersecurity
Autonomous security operations
Real time visualisation of a buffer overflow exploit in CGC
2016 Cyber Grand Challenge Final Event
11. 11
Machine learning: a new paradigm
ANGLE 2 | Robustness/Vulnerability of AI algorithms
• AI cannot be made unconditionally safe, like
any other technology.
• AI software based on machine learning
techniques is found to not be robust against
malicious attacks that exploit a specific set of
AI vulnerabilities.
• Thus: AI itself will likely be exploited and
misused, for example by criminals.
• Of highest importance: securing cyber-
physical systems employing AI.
12. 12
Classified as: ostrich.
Classified as: dog. Add crafted noise.
Fooling a state-of-the-art object recognition neural network through the simple act of
Introducing specially crafted noise (Szegedy et al. 2013)
Example of adversarial Machine Learning in image recognition
Adversarial Machine Learning
ANGLE 2 Example | Robustness/Vulnerability of AI algorithms
13. 13
“Robust Physical World Attacks on Deep Learning Models” (Eykholt et al. 2018)
Left: real graffiti on STOP sign.
Right: designed stickers to mimic the situation and fool an object recognition AI.
>= 83 % success rate in fooling a state-of-the-art object recognition
system in real drive-by tests
Example of a real life adversarial attacks
Adversarial Machine Learning
ANGLE 2 Example| Robustness/Vulnerability of AI algorithms
14. 14
New type of cyberattacks
• Usage of AI for the evasion of cybersecurity controls
(e.g. captcha solvers, antispam/antiphising filters,
malware detection)
• Autonomous / automatic decision making in
cyberattacks (e.g. autonomous lateral movements in
cyberattacks)
• Enhanced social engineering and identity theft (i.e.
realistic imitation of drafting style, voices and video)
• Abuse of AI limitations
Automatization of labour
• Some cybercrime labour intensive tasks can be
automated, enabling for example:
• Massive spear phishing attacks (highly targeted)
• Highly interactive and scalable social engineering
attacks (e.g. chat bots over IM, email or social media)
• Automatic botnet management
• Faster, more interactive and scalable attacks
• Automatization of cybercrime processes (e.g.
ransomware payments)
More effective
Scalable
Faster
More
interactive
More
autonomous
More targeted
More difficult
to attribute
Cheaper
AI can make
cyberattacks …
Influence of AI in cybersecurity threats
ANGLE 3 | Misuse of AI
15. 15
Captchas
https://github.com/mwrlabs/captcha_cracking
AI applied to malware
Social Engineering, deception and Identity theft
AI-based attacks against authentication systems
Identity theft and social engineering
Phishing and cyber extortion
Automated interactive attacks
• More targeted (e.g. impersonation of friends;
location of targets in social media)
• More contextualized (e.g. language translation,
use of personal information)
Brundage, Miles, et al., "The malicious use of artificial intelligence: forecasting,
prevention, and mitigation”, arXiv preprint arXiv:1802.07228 (2018)
Sivakorn, Suphannee, Jason Polakis, and Angelos D. Keromytis, "I’m not a human:
Breaking the Google reCAPTCHA”, Black Hat (2016)
• Massive spear phishing
• Automatic ransom negotiation and assistance
• Deep video fakes
• Fake audio voice
• Fake news
• Autonomous decision making in malware (lower dependence on
remote control)
• Evasion of malware detection controls
• Self-maintained, self-protecting and evolving botnets
AI-enhanced cyberattacks
ANGLE 3 Examples | Misuse of AI
16. 16
AI can help in:
• Reinforcing investigative capabilities
• Strengthen digital evidence-making in court
New AI based tools:
• Biometrics
• Image / audio / video analytics
• Localisation fingerprinting
• Evidence identification and correlation
• Encryption challenge
• Automatic scanning
• Digital forensics (data in transit, data at rest)
• Analysis of local and global context
AI will help not only in the fight against cybercrime but also cyber-dependant crime and more
generally crime
AI in Law Enforcement
ANGLE 4 | AI to fight (cyber)crime
WHO
WHERE
WHAT
17. 17
From classical text-based search (keywords) …
To JRC ML / Deep Learning feature-based approach …
• Human image interpretation is subjective
• The process is tedious and therefore error-prone
• The precision of recognition depends on the tattoo description
Keyword DB
Keyword(s) Matches
Visual Tattoo Inspection
HUMAN/SKULL,
OBJECT/FIRE,
OBJECT/WEAPON
Tattoo Detection
Segmentation
Learnt
features
1st candidate 2nd 3rd
1st candidate 2nd 3rd
Tattoo
Description
Tattoo
Identification
Deep
Learning
Model
Real datasets used: FBI Tattoo Database (NIST/Tatt-C)
JRC's research on Automatic Tattoo recognition
Automatic Tattoo recognition
ANGLE 4 Example | AI to fight (cyber)crime
Deep
Learning
Model
Deep
Learning
or SVM
18. 18
From picture to video
Camera fingerprinting
JRC's research on smarter image / audio / video forensics
Smarter image /audio/video forensics
ANGLE 4 Example | Camera identification
SPN extraction
19. 19
Stay in touch
•EU Science Hub: ec.europa.eu/jrc
•Twitter: @EU_ScienceHub
•Facebook: EU Science Hub - Joint Research Centre
•LinkedIn: Joint Research Centre
•YouTube: EU Science Hub