On June 28, 2024, Kamran Razavi presented our paper titled "NetNN: Neural Intrusion Detection System in Programmable Networks" at the 29th IEEE Symposium on Computers and Communications (ISCC) held in Paris, France. The paper describes a new approach for network intrusion detection by running learning-based detectors directly in the network data plane to achieve high throughput and low latency. Several ideas are proposed to address the challenges of deploying large neural networks in current P4 programmable network devices. The paper won the Second Best Paper Award at the conference. Congratulations Kamran!
NetNN: Neural Intrusion Detection System in Programmable Networks
Kamran Razavi (Technical University of Darmstadt, Germany & Paderborn University, Germany), Shayan Davari Fard (Technical University of Darmstadt, Germany), George Karlos and Vinod Nigade (Vrije Universiteit Amsterdam, The Netherlands), Max Mühlhäuser (TU-Darmstadt, Germany), Lin Wang (Paderborn University, Germany)
