A PCA and Mahalanobis distance-based detectionmethod for logical hardware Trojan

摘要

Due to wide application of FPGA devices, which are easy to be attacked by HTs, it has been risen up more concern on chip security. In order to ensure the efficiency of detection, side-channel analysis is used to detect HTs. However, existing methods for HT detection cannot detect the LHTs with the small size, which takes up lower than 1% area of the whole chip, considering that signal of LHTs is drowned in process deviations. To complete the side-channel analysis for LHT, we proposed an algorithm that combines Effect of hole on sound absorption coefficient of micro-perforated panels investigated by Melling computing KunWang$1$2Wei Wang$3Xiong Yan$1; $1Donghua University, Shanghai, China$2College of Textile and Fashion, Hunan Institute of Engineer, Xiangtan, China$3Handan Polytechnic College, Handan, China; ;;262500616@qq.com; Microperforated board is one of the important ways to absorb noise. However, the mechanism is still not well understood of the interaction between micropores, and the influence of the distance between the micropores on the sound absorption performance of microperforated plates is still not clarified. Professor Merlin introduced the influence of micropore interaction on the sound absorption performance of microperforated plates. Based on Maa and Melling theory, this paper proposed an absorption coefficient that considers the effect of perforation interactions. In addition, the formula was used to calculate the absorption coefficient and the resonance frequency and, subsequently, was tested by the conducted experiments. The results show that the structure parameters of the micro-perforated panel affect its absorption coefficient, and the model can search the absorption coefficient more efficiently, with the calculated result close to the experimental value. cavity on the back; micro-perforated panel (MPP); nonlinear; sound absorption coefficient e4725.1-e4725.8 1-8 10.1002/cpe.4725PCA and Mahalanobis distance to improve the accuracy of LHTs detection. In addition, performed on FPGA of Xilinx, a sample of LHTs was designed and verified, which took up nearly 0.1% area of thewhole chip. The influence of process deviation on the power consumption of FPGA was simulated by Hspice. A set of power-frequency data of golden FPGA was generated by Matlab as panel data, which was considering the influence. Another two sets of FPGA with and without LHT were generated to test the accuracy of the proposed method. For LHT and golden FPGA, the detection accuracy of proposed method is 99% and 87%, respectively.