Presentation at EICC '24

Tomorrow marks the start of another edition of the European Interdisciplinary Cybersecurity Conference (EICC). There, one output of the GRIFIN project will be showcased as collaboration with Japanese scholars from The University of Tokyo and Toyo University. The joint work conducted by Satoshi Okada, a Ph.D candidate who stayed for 6 months with us in 2023, introduces a methodology and related experiments with leveraging explainable AI metrics such as Integrated Gradients to drive the process of looking for adversarial examples in the problem space that are able to circumvent a network intrusion detector. In this work, Satoshi demonstrates successful yet realistic bypasses of an NIDS trained the CIC-IDS2017 dataset for a couple of attack classes, with little effort. He then validates that the generated adversarial network packets work in practice by attacking the detector in a virtual testbed. Please attend his talk during Session 1B on Machine Learning and Security in Room A from 11:15 to 12:35 on the first day (June 5th).