International Journal of Swarm Intelligence and Evolutionary Computation

How can AI be useful for securing networks: DDoS and SDN as a use case?

International Conference and Expo on Artificial Intelligence and Deep Learning

May 18, 2022 | Webinar

Ali El Kamel

Prince Research lab, Isitcom, University of Sousse, Tunisia

Scientific Tracks Abstracts: Int J Swarm Evol Comput

Abstract:

Software Defined Networking (SDN) is inherently vulnerable to several network attacks, especially the Distributed Denial of Service (DDoS). Those attacks are recognized as a major jeopardy for network performance and generally lead to a network failure. Indeed, DDoS attacks can easily overload the controller processing capacity and flood switches’ flow-tables. Mitigation of DDoS attacks can no longer be done with conventional techniques due to the emerging of new threats and processes used to launch those attacks. Today, the migration from defensive strategies based on “react after the occurrence of attacks”, to offensive strategies based on “predicting the occurrence of attacks” is compulsory. Henceforth, AI-assisted security is an emerging paradigm in providing and preserving safe networks.

Biography :

Ali El Kamel has completed his PhD from the University of Manouba (Tunisia). He was the Head of studies at the ISITCOM University for three years and he is a member of the PRINCE research lab (university of Sousse) since 2005. He has published more than 17 papers in reputed journals and ranked conferences and has been serving as a TPC member of repute journals and conferences.