IEEE Cybermatics Congress 2025

Erol Gelenbe FIEEE FACM FIFIP

Title: AI and Queueing Theory Combine Forces for the Detection and Mitigation of Cyberattacks

Affiliation: Institute of Theoretical & Applied Informatics, Polish Academy of Sciences, King’s College London & CNRS I3S, Université Côte d’Azur, Nice, France.

Abstract

Gateway Servers for the Internet of Things, used in critical application areas such as the Internet of Vehicles and health monitoring, must meet stringent Security and Quality of Service (QoS) requirements, offering cyberattack protection with fast response and minimal loss of benign data. Therefore, it is vital to protect these systems with effective traffic shaping, accurate Attack Detection (AD) and Mitigation mechanisms. We will first demonstrate online and federated learning techniques that accurately detect attacks. Measurements of packet floods that convey a cyberattack will be shown to impair the QoS at the Gateways and impede their capability to carry out AD. Using Queueing Theory, we will show that the novel traffic shaping method QDTP will ensure that a Gateway can allow AD to operate promptly during an attack. A new Adaptive Attack Mitigation (AAM) system will be introduced to sample the incoming packet stream, determine whether an attack is ongoing, and dynamically drop batches of packets at the input to reduce the effects of the attack, and minimise the AD overhead and the cost of lost benign packets.

References

Our papers related to this talk appear in the IEEE Internet of Things Journal (2025), Internet of Things (Elsevier, 2024), Information Fusion (Elsevier, 2025), Computers and Industrial Engineering (Elsevier, 2024), Performance Evaluation (Elsevier, 2024), IEEE Trans. on Security and Information Forensics (2024), and IEEE Network (Online 2024, and 2025), IEEE Access 2022, 2023

Bio

Erol Gelenbe is a Fellow of IEEE, ACM, IFIP, the Royal Statistical Society, the Institution of Engineering and Technology and other organizations. He graduated from METU (Ankara), received his PhD from the Tandon School of Engineering at New York University, and the Doctor of Science degree from Sorbonne University (Paris). He is an expert on System and Network Performance, Cybersecurity and AI. He proved basic mathematical performance results on page fault rates, random access channels, multi-path communications, and optimum database checkpoints, and was involved in the development of commercial performance tools such as QNAP2 and Flexsim. He invented G-Networks with product form solutions, the Random Neural Network, and introduced diffusion approximations for queueing systems with reflecting boundaries. A Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, he graduated over 90 PhDs and was awarded the honours of Chevalier de la Légion d’Honneur, Commander of Merit of France and Italy, Commander of the Order of the Crown of Belgium, and Officer of the Order of Merit of Poland. A Fellow of the National Academy of Technologies of France, of the Science Academies of Belgium, Poland and Turkey, Honorary Fellow of the Hungarian Academy of Sciences (Budapest) and the Islamic Academy of Sciences (Amman), he currently Chairs the Informatics Section of Academia Europaea. He won the ACM SIGMETRICS Lifetime Award, the Mustafa Prize, the Grand Prix France-Télécom of the French Science Academy, the IET Innovation Award (Oliver Lodge Medal), and other prizes, and was awarded Honoris Causa PhDs from the University of Rome II, the University of Liège, and the University of Bogaziçi in istanbul. He is an Honorary Professor of the University of Electronic Science and Technology of China.