AVATAR: NN-Assisted Variation Aware Timing Analysis and Reporting for Hardware Trojan Detection

AVATAR: NN-Assisted Variation Aware Timing Analysis and Reporting for Hardware Trojan Detection

This paper presents AVATAR, a learning-assisted Trojan testing flow to detect hardware Trojans placed into fabricated ICs at an untrusted foundry, without needing a Golden IC. AVATAR is a side-channel delay-based testing solution that is assisted by a learning model (process watchdog) for tracking t...

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Bibliographic Details
Main Authors: Ashkan Vakil, Ali Mirzaeian, Houman Homayoun, Naghmeh Karimi, Avesta Sasan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Hardware trojan
clock frequency sweeping test
neural network
side channel analysis
process variation
process drift
Online Access:https://ieeexplore.ieee.org/document/9466848/

Internet

https://ieeexplore.ieee.org/document/9466848/

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