ESILV’s DVRC laboratory is organizing its first workshop on cybersecurity. For its inauguration, they are inviting 3rd year Ph.D candidates to present their work on February 25th, from 9:00 to 12:45. Sara, our Ph.D candidate, will be giving a talk entitled Towards an interpretable and resilient cyber-attack detection in heterogeneous environments at 11:30. The talk will take place at the auditorium of Campus Cyber.

Solayman’s latest contribution on Privacy Benchmarking of Intrusion Detection Systems has been accepted for presentation at next International Conference on Advanced Information Networking and Applications (AINA).

Sara will be giving a talk at the upcoming CoaP seminar on January 14th, 2025 at 10:30. The talk will take place at IMT Palaiseau in room 3.A213.

Our Ph.D candidate, Sara, has been invited to talk at the SuperviZ workshop, on December 16th, 2024 in Rennes. She will be presenting her latest work on exploiting federated learning for network intrusion detection in heterogenous networks such as 5G or IoT.

For our last dissemination of the year, our Ph.D student, Shurok has secured a spotlight presentation at the 8th International Conference on Future Networks & Distributed Systems (ICFNDS) on December 11th, 2024.

IMT’s working group on Digital Trust is organizing a one-day seminar at Palaiseau on December 10th, 2024.

The second installment of ARTMAN, the workshop on Recent Advances in Resilient and Trustworthy MAchine learning-driveN systems is happening right now in Honolulu, Hawai.

Sara is joining the GRIFIN team for her last year in her Ph.D programme. Having been previously worked on Beyond5G project funded by the French Public Investment programme, her thesis deals with distributed, collaborative intrusion detection in 5G networks.

Another opportunity of dissemination for our Ph.D student, Solayman, who is bound to present his last accepted paper at the 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024), which be held in Aix-en-Provence from November 26th. The paper, entitled FREIDA: A Concrete Tool for Reproducible Evaluation of IDS using a Data-driven Approach, presents the implementation of our FREIDA framework, which enables comprehensive assessments of ML-based IDS. The paper further exemplifies its applicability by evaluating IDS according to two aspects: their detection effectiveness, and robustness to adversarial attacks. Solayman will be presenting on the starting day of CRiSIS (see programme), so come and discuss!

Our two Ph.D students, Shurok and Solayman, are invited to present the results of their work in the GRIFIN project during the kickoff of TURFU-NET. The kickoff meeting will take place on November 22nd in Illkirch-Graffenstaden (see program). Shurok will present her reinforcement learning approach to mitigate DDoS attacks in a talk entitled DDoS Mitigation while Preserving QoS: A Deep Reinforcement Learning-Based Approach while Solayman will discuss the FREIDA framewok in a talk entitled Towards Reproducible Evaluations of ML-Based IDS Using Data-Driven Approaches. TURFU-NET (Transcending the Usual Rationale for the Future of Ubiquitous NETworks) is an ANR TSIA project, a call specific to Artificial Intelligence (AI) topics. Coordinated by Quentin Bramas, from the University of Strasbourg, it aims at redefining network management and optimization through the integration of cutting-edge neurosymbolic AI. The project partners come from research teams located at Strasbourg (iCube laboratory), Mulhouse (IRIMAS laboratory, Université de Haute-Alsace) and Paris (LIP6, Sorbonne University).