Hardware Trojan horse recognition method based on neural network

Abstract

The invention provides a hardware Trojan horse recognition method based on a neural network. The problem that an existing recognition method does not need manual observation and is low in efficiency is solved, and recognition intelligentization of a hardware Trojan horse chip is achieved. The method comprises the following steps of first obtaining side channel information of a chip to be detected and performing data pre-processing; selecting a part of the chip to be detected to perform back subdivision analysis and confirming whether a back subdivision chip contains hardware Trojan horse or not; utilizing the back subdivision chip which does not contain the hardware Trojan horse to build a chip characteristic space through pro-processed side channel information; projecting all of chips to be detected into the characteristic space through a pro-processed side channel information matrix to obtain a side channel information characteristic data matrix; utilizing side channel information characteristic data of the back subdivision chip and a corresponding target output value to build and train the neural network; delivering the side channel information characteristic data of a tested chip to the trained neural network to be distinguished and output and achieving hardware Trojan horse recognition.

Description

technical field [0001] The invention relates to the detection and identification field of a hardware Trojan chip, in particular to a neural network-based hardware Trojan identification method. Background technique [0002] With the separation of various links such as integrated circuit design, manufacturing, testing, and packaging, it is more likely that the chips used by users will be implanted into hardware Trojan horse circuits by people with ulterior motives, which has brought great challenges to the field of information security and chip reliability. serious threat. At present, for the detection and identification of hardware Trojan chips, in most cases, the technology of extracting the characteristic value of the chip side channel information is used to establish the chip's side channel information fingerprint database. The general steps of this technology are: first, randomly select some chips from a batch of chips as samples; detect the side channel information of t...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the problem of large error and low efficiency in the existing method of using chip side channel information to identify whether a chip contains a hardware Trojan. Hardware Trojan Horse Recognition Method Based on Neural Network

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