A Hardware Trojan Detection Method Based on Side-channel Analysis

DOI

10.2991/icecee-15.2015.197How to use a DOI?

Keywords

Integrated Circuit; Hardware Trojan; side-channel analysis; Maximum Margin Criterion

Abstract

For the problem of Hardware Trojan detection, we analyzed the statistical properties of the power side-channel signal, and proposed a Hardware Trojan(HT) detection method based on the power side-channel signal. We processed the power side-channel signal by the maximum margin criterion(MMC), and projected the power side-channel signal onto low-dimensional subspace. We extract signal’s Characteristic vector sequence, and detect Hardware Trojan in IC chip through statistical processing and analysis. We did simulation experiments to verify by Monte Carlo, and detect Hardware Trojan in C7552 circuit. Experimental results show that at ±20% of the process noise we can detect Hardware Trojan that accounts for 0.028 percent of the circuit, and compared with the K-L transform, this method achieved a good experimental result.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaohan Wang
AU  - Xiongwei LI
AU  - Lu XU
PY  - 2015/06
DA  - 2015/06
TI  - A Hardware Trojan Detection Method Based on Side-channel Analysis
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1042
EP  - 1047
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.197
DO  - 10.2991/icecee-15.2015.197
ID  - Wang2015/06
ER  -