A Hardware Trojan Detection Method Based on Side-channel Analysis

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