A Hardware Trojans Detection method by side-channel analysis
Lin Ni · 2016
As a bomb hidden in the chips, the Hardware Trojans cannot be eliminated as the same as the software virus, which has brought about major security challenges for integrated circuit.In a variety of currently proposed methods, the method of side-channel analysis is more effective for Hardware Trojans detection.In this paper, we put forward and optimize the hardware Trojan power noise model by dissecting the power consumption of chip, utilize the method of feature projection to achieve noise optimization and feature extraction for original circuit and Trojans circuit.Then a new Hardware Trojans detection algorithm based on convergence and divergence analysis is proposed.The experiment sets up a hardware platform and designs a secret key leaked Hardware Trojans based on the sequence detection in Advanced Encryption Standard (AES) algorithm, The results show that the method can effectively detect Hardware Trojans with more robustness; and we can realize accurate detection for Hardware trojans under the actually measured data when no more than 1% area of circuit is acquired.