Abstract
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 realtime 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 38.2μW from a 1.2V supply while running at 40kHz.
Original language | English (US) |
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Pages (from-to) | 349-353 |
Number of pages | 5 |
Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
Volume | 69 |
Issue number | 2 |
DOIs | |
State | Published - Feb 1 2022 |
Externally published | Yes |
Keywords
- Hardware
- Malware
- Neurons
- Perturbation methods
- Program processors
- Reservoirs
- Resists
ASJC Scopus subject areas
- Electrical and Electronic Engineering