Arhuaco: Deep Learning and Isolation Based Security for Distributed High-Throughput Computing
Published in Journal of Grid Computing, 2020
Arhuaco was the PhD thesis project at CERN: deep learning and isolation-based methods for intrusion detection and prevention on the Worldwide LHC Computing Grid (WLCG). Co-authored with the ALICE Collaboration. Code: github.com/kuronosec/arhuaco.
Recommended citation: Gómez Ramírez, A., Lara, C., Betev, L., Bilanovic, D., Kebschull, U. (ALICE Collaboration). "Arhuaco: Deep Learning and Isolation Based Security for Distributed High-Throughput Computing." Journal of Grid Computing.
