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UID:3@edgeaihub.co.uk
DTSTART;TZID=Europe/London:20260515T140000
DTEND;TZID=Europe/London:20260515T150000
DTSTAMP:20260814T103607Z
URL:https://edgeaihub.co.uk/events/autonomous-cyber-defence-at-the-edge-fr
 om-risk-aware-reinforcement-learning-to-self-healing-iot-networks/
SUMMARY:Autonomous Cyber Defence at the Edge - From Risk-Aware Reinforcemen
 t Learning to Self-Healing IoT Networks
DESCRIPTION:Critical infrastructure and IoT networks are increasingly manag
 ed through edge computing\, yet the speed and scale of modern cyberattacks
  far exceed what human security teams can handle alone.\n\n\nIn this webin
 ar\, Dr Tuan Le will explore how reinforcement learning and graph-based AI
  can empower edge systems to operate defensively and autonomously\, detect
 ing threats\, making risk-aware decisions\, and recovering from compromise
  without waiting for human intervention.\n\nThis session is ideal for rese
 archers\, practitioners\, and decision-makers working in cybersecurity\, A
 I\, critical infrastructure\, and IoT systems.\n\nDate: May 15\, 2026\nTim
 e: 2:00 PM\nLocation: Zoom: https://newcastleuniversity.zoom.us/j/83866079
 014\n\n\nTitle: Autonomous Cyber Defence at the Edge - From Risk-Aware Rei
 nforcement Learning to Self-Healing IoT Networks\n\nAbstract: Critical inf
 rastructure and IoT networks are increasingly managed through edge computi
 ng\, yet the speed and scale of modern cyberattacks far exceed what human 
 security teams can handle alone. This talk will explore how reinforcement 
 learning and graph-based AI can enable edge systems to detect threats\, ma
 ke defensive decisions\, and recover autonomously — without waiting for 
 human intervention. I will introduce our experience training intelligent a
 gents to select security controls against multi-stage attacks on industria
 l networks\, and then present a self-healing architecture for IoT environm
 ents where compromised devices are automatically isolated\, traffic is rer
 outed\, and recovered nodes are safely reintegrated. Overall\, these works
  contribute an end-to-end framework for autonomous threat detection\, deci
 sion-making\, and self-healing at the network edge\, with future work targ
 eting hardware deployment and federated learning across distributed edge d
 evices.\n\nAbout the speaker: Dr Tuan Le is an Assistant Professor at WMG\
 , University of Warwick\, where he is part of the Secure Cyber Systems Res
 earch Group led by Prof. Carsten Maple. His research focuses on integratin
 g AI with cybersecurity\, including reinforcement learning for automated d
 efence\, attack-graph-based threat modelling and risk assessment for criti
 cal infrastructure systems and IoT.
CATEGORIES:Research,Research Webinar,Webinar
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