Hardware trojan identification method based on single classification supporting vector machine

Abstract

A hardware trojan identification method based on a single classification supporting vector machine belongs to the detection and identification field of hardware trojan chips. The invention solves the problems of huge error and low efficiency in the prior art because the technology of utilizing chip side channel information to identify the chip hardware trojan requires to observe an image manually. The method provided by the invention comprises the following steps: I, preprocessing, and acquiring a side channel information matrix; II, selecting a backward analysis chip to perform backward analysis, and determining whether a hardware trojan is contained; III, dividing the backward analysis chip not containing the hardware trojan into a train sample and a train optimizing sample; IV, utilizing the side channel information matrix of the train sample to establish the characteristic space of the chip; V, acquiring the side channel characteristic data matrix of a chip to be detected; VI, performing normalization processing; VII, picking up the normalized data of the train sample and the train optimizing sample; VIII, training the single classification supporting vector machine to constitute a minimum hypersphere; and IX, if beyond the minimum hypersphere, then determining that the chip to be detected is a hardware trojan chip.

Description

technical field [0001] The invention relates to a hardware Trojan horse recognition method based on a single classification support vector machine, and belongs to the field of hardware Trojan horse chip detection and recognition. 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 Trojans, most of them adopt the technology of obtaining chip side channel information, extracting chip side channel information characteristic values, and establishing chip side channel information fingerprint library technology. The general steps of this technology are: first, randomly select some chips from a...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the existing technology of using chip side channel information to identify the hardware Trojan horse in the chip, which needs to use manual observation images, which has the problems of large error and low efficiency, and provides a hardware Trojan horse based on single classification support vector machine recognition methods

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