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• W2970616078 abstract "Abstract In this paper, we note that the hardware Trojans that leak information through the unspecified output pins are difficult to detect by functional testing or side-channel signal analysis. Especially, the Trojans that leak the information through the side channel has proven stealthy to be detected. To solve this problem, we propose a feature matching method based on information flow tracking at high abstraction level. In this paper, the Trojans features are summarized with the format of high-level information flow tracking, which can be used to detect the Trojans. Experimental results show that our method can successfully identify the above-mentioned Trojans from Trust-hub, DeTrust, and OpenCores in less than 20 ms, showing significantly lower time complexity compared with the existing works." @default.
• W2970616078 created "2019-09-05" @default.
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• W2970616078 date "2019-11-01" @default.
• W2970616078 modified "2023-09-26" @default.
• W2970616078 title "A high-level information flow tracking method for detecting information leakage" @default.
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• W2970616078 doi "https://doi.org/10.1016/j.vlsi.2019.08.001" @default.
• W2970616078 hasPublicationYear "2019" @default.
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