Seth H. Pugsley, Jeffrey Jestes, et al.
ISPASS 2014
We propose SoCurity, the first NoC counter-based hardware monitoring approach for enhancing heterogeneous SoC security. With SoCurity, we develop a fast, lightweight anomalous activity detection system leveraging semi-supervised machine learning models that require no prior attack knowledge for detecting anomalies. We demonstrate our techniques with a case study on a real SoC for a connected autonomous vehicle system and find up to 96% detection accuracy.
Seth H. Pugsley, Jeffrey Jestes, et al.
ISPASS 2014
Alper Buyuktosunoglu, David Trilla Rodriguez
ISCA 2024
Roberto Gioiosa, David Trilla Rodriguez, et al.
ISCA 2023
Karthik Swaminathan, Ramon Bertran, et al.
HOST 2024