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.

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