Transforming Cybersecurity Dynamics Presentation IEEE SysCon 2024 | Montreal, Canada
Автор: Aws Jaber
Загружено: 2026-02-05
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Описание:
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
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