Game Theory for Management & Federated Deep Learning - Intrusion Detection

Join us as we explore Game Theory in Cyber Security and the lastest Cyber Security Insights from Anglian Ruskin University in Cambridge.

I am pleased to welcome Gabriel Severi, and the ARU to speak at our September Chapter Event in Cambridge.

Synopsis

Game Theory and Productivity Measurement

This presentation will explorer what causes the inevitable deterioration of producting measurement efficacy and how to avoid it by noruishing the development of this skill

Bio

Gabriel is an experienced cybesecyruty professional who specialises in Security Architecture. As a teenager he developed an interest is Psychology, which developed into a lifelong hoby. He was diagnosed with ADHD and Autism in is late 20's, and is now merging his hobby and career to advocate for improved people management practices in the cyber security industry.

Title: Federated Deep Learning for Intrusion Detection in Smart Critical Infrastructure

Abstract:

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.

Bio:

Dr Segun Popoola is a Senior Lecturer in Cyber Security and Artificial Intelligence at Anglia Ruskin University, Cambridge, UK. He specialises in developing AI-driven solutions for cybersecurity, particularly in intrusion detection, threat mitigation, and the security of AI systems. He has successfully led multiple research projects funded by Innovate UK to advance AI applications in cybersecurity and IoT. Segun has published over 100 peer-reviewed papers and is recognised as one of the World’s Top 2% Most-Cited Scientists in a study conducted by a Stanford University researcher in 2024. His research focuses on leveraging machine learning, deep learning, and federated learning to enhance cyber security and safeguard AI systems against evolving cyber threats. In recognition of his contributions, he was endorsed as a Global Exceptional Talent in Security and Privacy by The Royal Society, UK, in 2022. As an active voice in the field, Segun also contributes to shaping policies and standards for AI ethics and cybersecurity, co-chairing the AI Ethics & Social Impact Group at Nigeria’s National Artificial Intelligence Strategy Workshop. His work bridges the gap between cutting-edge research and practical implementation, providing secure, intelligent solutions for the next generation of digital infrastructures.

Join us for an enlightening and engaging discussion.

Host or Publisher ISC2 East of England Chapter