Statistical Analysis based onTemperature Matrix for Hardware Trojan Detection

Hardware Trojan (HT) is an emerging threat to the information security field. It can leak users' privacy information, degrade systems' performance and modify normal functions. In this paper, a statistical analysis approach based on temperature matrix is proposed to detect HT. According to the mechanism of Pauta criterion, the detection rate and the false positive rate are calculated. In addition, the process variation's (PV's) influence is estimated on our detection ability. Finally, in the experiment, Xilinx FPGAs configured with the pure AES circuit and the infected AES circuits are utilized to evaluate our proposed countermeasure. The results indicate that this countermeasure can detect 8-gate HTs with 0.20% small power proportion.