Real-Time Hardware-Based Malware and Micro-Architectural Attack Detection Utilizing CMOS Reservoir Computing
Sanjeev Tannirkulam Chandrasekaran, Abraham Peedikayil Kuruvila, Kanad Basu, Arindam Sanyal · IEEE Transactions on Circuits & Systems II Express Briefs · 2021
In this work we demonstrate a novel CMOS reservoir computer (RC) prototype in 65nm CMOS that is capable of detecting Malware and micro-architectural attacks in real-time utilizing hardware performance counter (HPC) traces. A 65nm test chip achieves 96.8% and 96.5% accuracy when classifying Malware and micro-architectural attacks respectively, while achieving better classification performance than digital machine learning models and with lower energy consumption. The on-chip classifier consumes$38.2~\mu \text{W}$from a 1.2V supply while running at 40kHz.