Detection of Hardware Trojan Based on Rare Trigger Multiple Excitation

Abstract

In this paper, through the analysis of node for low turnover rate, we put forward a new method to generate test vector, and based on the node of the incentive for many times, for low turnover rate can significantly increase the Trojan detection sensitivity, in order to better the combination of side channel detection method for hardware Trojan detection. This paper puts forward several important contributions: 1) it provides detailed statistical method to generate test vector, it can generate high quality test vector, in any small Trojan instance is created in high relative activities; 2) it analyzes the effectiveness of the generated test vector in the Trojan coverage, and greatly improves the sensitivity of the side channel. The simulation results show that the test can significantly increase the sensitivity of the Trojan horse, so that the Trojan detection is more effective for the side channel analysis.