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A Side Channel Delay Analysis for Hardware Trojan Detection

Show simple item record Vakil, Ashkan 2021-01-04T20:44:21Z 2021-01-04T20:44:21Z 2020-10
dc.description.abstract This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint to compare the side channel signals. Instead, by modeling the voltage drop and voltage noise pre-fabrication, and with training a Neural Network post-fabrication, our proposed technique can improve the timing model collected during timing closure and produces a Neural assisted Golden Timing Model (NGTM) for side channel delay-signal analysis. The Neural Network acts as a process tracking watchdog for correlating the static timing data (produced at design time) to the delay information obtained from clock frequency sweeping test. Proposed modeling technique enables Hardware Trojan detection close to 90% in the simulated scenarios. en_US
dc.language.iso en_US en_US
dc.rights Attribution-ShareAlike 3.0 United States *
dc.rights.uri *
dc.subject computer security en_US
dc.subject computer trojan en_US
dc.subject Side Channel Analysis en_US
dc.title A Side Channel Delay Analysis for Hardware Trojan Detection en_US
dc.type Technical Report en_US

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