with the existing literature focusing primarily on the technological dimension of both defensive, adversarial and offensive AI. This highlights a need for more holistic research on AI in cybersecurity, considering the non-technical factors that can influence AI-driven threats. This paper uses a ...
There’s a never-ending battle going on between cyber defenders and attackers, and this plays out with security products too: As soon as a security vendor develops a way to mitigate the latest threat, attackers are busy finding a way around it or a new threat to take its place. To try...
Our case study demonstrates the possibility of embracing AI in cyber security education while respecting its ethical use, with the additional benefits of enhancing student experience and academic performance.This is a preview of subscription content, log in via an institution to check access. ...
innovations, and ethical considerations surrounding the application of generative AI in the field of cybersecurity. It aims to present thorough analyses, case studies, and insightful perspectives on various aspects, ranging from AI-driven cyber threats to the legal and ethical dimensions...
A conclusion that addresses the challenges encountered with these AI methods in cybersecurity and proposes future solutions. Paper structure The paper is organized into six clearly defined sections to provide a systematic exploration of AI methods in cyber-attack detection. In the 'Introduction' section...
A Road Towards an Interaction between Cyber Security and AIGC 接着,就直奔主题——大模型(AIGC)和网络空间安全的整合之道,主要分享一些科研的思路,以及在科研过程中的一些想法。借这个机会希望与大家一起学习探讨“AI和安全融合过程有哪些的可能性或者是挑战”。
Can Large Language Models Solve Security Challenges? We test LLMs' ability to interact and break out of shell environments using the OverTheWire wargames environment, showing the models' surprising ability to do action-oriented cyberexploits in shell environments ...
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI, arXiv:2407.06886, 2024 Yang Liu, Weixing Chen, Yongjie Bai, Guanbin Li, Wen Gao, Liang Lin. [Paper] All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents, arXiv...
Such tools are essential for evaluating the performance of deep reinforcement learning algorithms. The method is emerging as a powerful decision-support tool for cybersecurity experts—a defense agent with the ability to learn, adapt to quickly changing circumstances, and make decisions autonomously. Wh...
Drawing on the extensive data and insights from the Cisco reports, this research offers a nuanced understanding of the factors influencing global readiness. The paper concludes with strategic recommendations for advancing global readiness in cybersecurity and AI, outlining a roadmap that emphasizes ...