Join us for a thought-provoking lecture featuring Professor Erol Gelenbe, a Tandon School Distinguished Alumnus, as he engages with the Tandon community on the critical role of AI in detecting and mitigating cyberattacks. With cyber threats evolving rapidly, Prof. Gelenbe will share his expertise on how real-time learning techniques and AI-driven security solutions can protect systems like the Internet of Things. Don’t miss this opportunity to hear from a pioneering researcher whose work has shaped the future of network security. Light refreshments will be provided.
Speaker:
Erol Gelenbe
Professor, Polish Academy of Sciences, Institute of Theoretical and Applied Informatics & Visiting Professor, Kings College London
Abstract:
The Internet of Things, which includes critical application areas such as the Internet of Vehicles and health monitoring, must meet stringent Security and Quality of Service (QoS) requirements in real-time, offering cyberattack protection with fast response and minimal loss of benign data. Therefore, protecting these systems with fast Attack Detection (AD) and Mitigation mechanisms is vital. We will first demonstrate how the online, as well as federated, learning techniques that we have developed, can accurately detect attacks. We will also present our measurements that show how packet floods that convey certain cyberattacks can also impair the QoS at IoT Gateways and impede their capability to carry out AD. A novel traffic shaping method to ensure that a Gateway can allow AD to operate promptly during an attack will be discussed, and a new online Adaptive Attack Mitigation (AAM) system will be introduced to sample the incoming packet stream, determine whether the attack is ongoing, dynamically drop batches of packets, secure the system, and minimize the cost of the AD overhead and of losing benign packets.
About Erol Gelenbe:
Erol Gelenbe received the Tandon School Distinguished Alumnus Award in 2010. He is a Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, and a Visiting Professor at King’s College London. He graduated from METU (Ankara) and received his MS and Ph.D. degrees from the Polytechnic Institute of Brooklyn, supported by highly competitive Fulbright and NATO fellowships. He also earned the State Doctorate in Mathematical Sciences from the Sorbonne (Paris) and was awarded four Honoris Causa (honorary) doctorates from Belgium, Hungary, Italy and Turkey. Known for the earliest performance results regarding communication protocols and pioneering the design of AI-driven network routing and security, he invented the eponymous performance models known as G-Networks and the Random Neural Network. His technical awards include the Grand Prix France-Télécom’96 (French Academy of Sciences), the ACM SIGMETRICS’08 Life-Time Award, the Imperial College Rector’s Research Award 2008, the IET UK Innovation Award (Oliver Lodge Medal’10), the Mustafa Award’17 for his invention of G-Networks, and he is a Fellow of IEEE, ACM, the French National Academy of Engineering, Academia Europaea, the Science Academies of Belgium, Hungary, Poland and Turkey, the Royal Statistical Society and the Royal Society for the Arts and Commerce. He previously served as Electrical and Computer Engineering Department Chair at Duke University, Director of the School of EECS at the University of Central Florida, and Gabor Chair Professor at Imperial College, and has graduated over 90 Ph.D.s, including 24 women. His accomplishments as a researcher and educator have won him the honors of Chevalier de la Légion d’Honneur and Commander of Merit of France, Commander of Merit of Italy, Commander of the Order of the Crown of Belgium, and Officer of the Order of Merit of Poland. He currently chairs the Informatics Section of Academia Europaea.