Gate-level hardware Trojan horse detection method based on multiple characteristic parameters

Abstract

The invention relates to a gate-level hardware Trojan horse detection method based on multiple characteristic parameters. The method mainly comprises two parts: characteristic parameter extraction anddata processing. Specifically, characteristic parameters such as hopping probability, correlation, controllability and observability of a gate-level netlist are extracted in the detection process, the hopping probability reflects the activity degree of circuit nodes, the correlation reflects the correlation degree between the nodes, and the controllability and observability indicate the difficulty degree of node control and observation. Then, different algorithms are designed according to different parameter characteristics to distinguish normal nodes and Trojan horse nodes. According to themethod, the gate-level netlist hardware Trojan horse detection effect can be improved; the situation of all nodes in the circuit is reflected through multiple characteristic parameters, the possibility that a design company uses an IP core provided by a third party to introduce a hardware Trojan horse maliciously modifying the circuit in the chip design stage is reduced, and therefore the method can be universally applied to gate-level hardware Trojan horse detection and has high practicability.

Description

technical field [0001] The invention discloses a door-level hardware Trojan horse detection method based on multiple feature parameters. Specifically, in the chip design process, the IP core provided by the third party is synthesized into a gate-level netlist circuit, and in the gate-level netlist circuit, multiple features such as jump probability, correlation, controllability and observability are extracted Parameters, and then use the corresponding feature data processing algorithm to process the feature parameters. After all the data processing is completed, distinguish the normal part and the hardware Trojan part in the circuit. Background technique [0002] From the middle of the last century to the present, integrated circuits have continued to develop in accordance with Moore's Law, with rapid growth in scale and shrinking process sizes. Correspondingly, the design and manufacture of integrated circuits has become more and more complex. In this context, the process...

AI Technical Summary

Problems solved by technology

The traditional single characteristic parameter cannot fully reflect the state of the nodes in the gate-level netlist, and the accuracy of the detection results is difficult to guarantee

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