Transforming Cybersecurity Dynamics Presentation IEEE SysCon 2024 | Montreal, Canada скачать в хорошем качестве

Transforming Cybersecurity Dynamics Presentation IEEE SysCon 2024 | Montreal, Canada

Transforming Cybersecurity Dynamics Presentation IEEE SysCon 2024 | Montreal, Canada In this talk, Aws Jaber from KTH Royal Institute of Technology presents an innovative framework that uses enhanced self-play reinforcement learning to significantly improve the effectiveness and adaptability of Intrusion Detection and Prevention Systems (IDPS). Key highlights: Novel threshold-based self-play RL approach Dynamic adversarial training between attacker and defender agents Adaptive policy learning for real-time intrusion prevention Superior detection rates and reduced false positives compared to traditional methods Experimental validation on modern cybersecurity datasets Paper title: Transforming Cybersecurity Dynamics: Enhanced Self-Play Reinforcement Learning in Intrusion Detection and Prevention System Author: Aws Jaber (KTH Royal Institute of Technology) Conference: 2024 IEEE International Systems Conference (SysCon) Dates: April 15–18, 2024, Montreal, Canada IEEE Xplore link: https://ieeexplore.ieee.org/document/10553626