On-chip network hardware Trojan horse detection platform based on machine learning

Abstract

The invention discloses an on-chip network hardware Trojan horse detection platform based on machine learning, and belongs to the technical field of calculation, reckoning or counting. A machine learning-based network-on-chip hardware Trojan horse detection platform is established by constructing a security detection module comprising a traffic feature tracking extraction module, a feature extraction register module, a change point detection module and a random forest Trojan horse detection module. The flow characteristic tracking and extracting module is used for converting flow data in a network-on-chip into a network-on-chip flow time sequence model by analyzing network-on-chip flow characteristics. And the feature extraction result register module stores the feature data. The change point detection module extracts change points and abnormal points in the on-chip network traffic time sequence model through a Bayesian change point method, and is used for separating normal data and change point data. And the random forest detection module accurately identifies network-on-chip abnormal behaviors by learning complex and mutually associated network-on-chip traffic characteristics.

Description

technical field [0001] The invention discloses an on-chip network hardware Trojan horse detection platform based on machine learning, relates to hardware security technology, and belongs to the technical field of calculation, calculation or counting. Background technique [0002] In recent years, with the development of semiconductor technology and the increase of system complexity, more and more cores can be integrated into SoC to meet the increasing demand. As traditional bus-based communication becomes more and more difficult, Network on Chip (NoC, Network on Chip) has become a promising solution. In terms of integrated circuits, obtaining IP from third-party suppliers is a common practice today in order to reduce design costs and time-to-market, while the complex supply chain involved in NoC development poses great reliability challenges. These implanted Trojans usually perform many malicious actions, such as denial of service (DoS, Denial of Service), sensitive data le...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a network-on-chip hardware Trojan horse detection platform based on machine learning in view of the fact that the network-on-chip may be attacked by malicious hardware Trojan horses in the above-mentioned background technology, by implanting the constructed security detection module into the network-on-chip circuit , effectively improve the ability of the on-chip network to detect Trojan horse attacks, realize the invention purpose of establishing an on-chip network hardware Trojan horse detection platform, and solve the problem that the security mechanism provided by the existing on-chip network security protection technology cannot accurately perform dynamic security detection according to the on-chip network traffic status question

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