Federated Deep Learning for Intrusion Detection in Smart Critical Infrastructure

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• Segun Popoola, Anglia Ruskin University
• Tuesday 12 November 2024, 14:00-15:00
• Webinar & LT2, Computer Laboratory, William Gates Building..

If you have a question about this talk, please contact Tina Marjanov.

The integration of the Internet of Things (IoT) into smart critical infrastructure has significantly enhanced monitoring, control, and efficiency. However, this integration introduces new cybersecurity risks, as IoT devices can become vulnerable points for attackers targeting essential services such as electricity, water, and transportation. Addressing these risks requires robust intrusion detection systems to monitor and mitigate potential cyber threats. This talk explores the application of deep learning and federated learning techniques to enhance intrusion detection in IoT-enabled smart critical infrastructure. It will also cover the challenges and security implications of using Artificial Intelligence (AI) in the cybersecurity of smart critical infrastructure and discuss current solutions to ensure AI systems remain safe, secure, and resilient against cyber-attacks.

This talk is part of the Computer Laboratory Security Seminar series.

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• All Talks (aka the CURE list)
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• Computer Laboratory Security Seminar
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• Interested Talks
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• Webinar & LT2, Computer Laboratory, William Gates Building.
• bld31

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