YongKang Zhu, David H. Albonesi, et al.
ISPASS 2005
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.
YongKang Zhu, David H. Albonesi, et al.
ISPASS 2005
Hans Jacobson, Pradip Bose, et al.
HPCA 2005
Aporva Amarnath, Aaron Councilman, et al.
ISCA 2024
Liang Wang, Ramon Bertran, et al.
IISWC 2014