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Scalable consistency-based hardware trojan detection and diagnosis

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2 Author(s)
Sheng Wei ; Computer Science Department, University of California, Los Angeles (UCLA), 90095, USA ; Miodrag Potkonjak

Hardware Trojans (HTs) have become a major concern in modern IC industry, especially with the fast growth in IC outsourcing. HT detection and diagnosis are challenging due to the huge number of gates in modern IC designs and the high cost of testing. We propose a scalable and efficient HT detection and diagnosis scheme based on segmentation and consistency analysis of the gate-level properties. Furthermore, we develop a HT masking approach that prevents the HTs from functioning using selective device aging. We evaluate our HT detection and diagnosis schemes on a set of ISCAS and ITC benchmarks.

Published in:

Network and System Security (NSS), 2011 5th International Conference on

Date of Conference:

6-8 Sept. 2011