Detecting method of combining infrared imagery and normal distribution analysis for hardware trojan horse

Abstract

Provided is a detecting method of combining infrared imagery and normal distribution analysis for a hardware trojan horse. The detecting method comprises the steps that S1: the infrared imagery is captured; a pure chip sample without the hardware trojan horse and a detected chip with a same model simultaneously starts to work, and the infrared imagery of the two chips over a period of time is captured by imagery collecting equipment; S2: a first difference is carried out on the acquired infrared imagery; in the period of sampling time, a pair of infrared imagery is generated at each sampling moment, the difference is carried out on the pair of infrared imagery, infrared imagery after the difference is obtained; S3: a second difference is carried out on the differential infrared imagery ateach moment. Each pixel point in the obtained differential infrared imagery in the first difference is extracted, and differential temperature is drew on a coordinate graph with taking time as an abscissa; S4: judgement is carried out, and the differential temperature of the pixel point with the trojan horse is higher; S5: the normal distribution analysis is carried out. The detecting method has the advantages of high detecting precision, low detecting cost, high detecting efficiency and the like.

Description

technical field [0001] The invention mainly relates to the field of hardware Trojan horse detection of integrated circuits, in particular to a hardware Trojan horse detection method combining infrared images and normal distribution analysis. Background technique [0002] As the cost of integrated circuit production lines is getting higher and higher, many integrated circuit designers choose to outsource the link of integrated circuit manufacturing to third-party foundries. This outsourcing leads to the credibility risk of the integrated circuit, and additional malicious circuits may be implanted in the original circuit, and this malicious circuit is called a hardware Trojan horse. Hardware Trojan detection has become an important topic in the field of chip security, and a variety of detection methods have been proposed, such as functional and structural testing, design for testability, reverse anatomy, and bypass signal detection. [0003] The reverse anatomy verification m...

AI Technical Summary

Problems solved by technology

The disadvantages of reverse anatomy verification are: 1. The process of chip reverse analysis is very complicated and the verification process is slow; 2. This is a destructive hardware Trojan detection method. After the detection is completed, the detected chip is completely scrapped and cannot be used anymore

[0006] To sum up, the above method either has the problem of high cost, or has the problem of poor detection effect

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