Mixed mode multi-level gate-level hardware Trojan horse detection method based on machine learning

Abstract

The invention discloses a mixed mode multi-level gate-level hardware Trojan horse detection method based on machine learning, and belongs to the technical field of calculation, reckoning or counting.The mixed mode multi-level gate-level hardware Trojan horse detection method comprises the steps of: firstly, by analyzing a structure and characteristics of a gate-level Trojan horse circuit at a first level, providing two effective Trojan horse circuit characteristics, combining with traditional Trojan horse characteristics, carrying out static detection on a suspicious circuit to be detected through a machine learning algorithm, and separating the Trojan horse circuit and a normal circuit preliminarily; secondly, providing Trojan horse characteristics of two scanning chain structures at a second level, and continuing to perform static detection on the normal circuit separated at the first level by using a scan chain detection method; and finally, dynamically detecting the normal circuitseparated at the second level, and integrating detection results of the three levels to obtain the final Trojan horse circuit. Compared with a traditional gate-level hardware Trojan horse detection method, the mixed mode multi-level gate-level hardware Trojan horse detection method combines a static detection method and a dynamic detection method, and the suspicious circuit to be detected is detected more comprehensively and efficiently by means of the multi-level structure.

Description

technical field [0001] The invention discloses a mixed-mode multi-level door-level hardware Trojan detection method based on machine learning, relates to the field of hardware security, and belongs to the technical field of calculation, calculation or counting. Background technique [0002] In recent years, with the rise and globalization of the semiconductor industry, hardware security issues have become another major problem after software security issues. Therefore, how to detect the Trojan horse circuit in the circuit is a problem that requires high attention. [0003] At present, door-level hardware Trojan detection is mainly divided into static detection and dynamic detection. The dynamic detection method is to detect the Trojan horse by observing the analog circuit or the actual circuit under the condition of applying an external stimulus. This method needs to activate the Trojan horse circuit to observe the behavior of the Trojan horse circuit, but the Trojan horse ...

AI Technical Summary

Problems solved by technology

The static detection method does not need to simulate the circuit, and only uses the difference between the Trojan horse circuit and the normal circuit to statically distinguish the Trojan horse circuit from the normal circuit, but this method is difficult to detect hardware Trojan horses based on sequential circuits and is difficult to apply to large-scale Scale Integrated Circuit Design

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