Enhancing Hardware Trojan Detection Sensitivity Using Partition-Based Shuffling Scheme

Abstract

This brief presents a new test pattern generation scheme alongside a design for trust (DfTr) methodology for detecting hardware Trojan through side channel-based analysis approaches. The proposed scheme takes advantage of the proposed Hamming distance-based reordering and partition-based shuffling methods. The key idea behind the proposed work is that instead of distributing the circuit activity profile among all the nets with low transition probability at once, it can only be restricted to the smaller subsets of rare nets one at a time, while the rest of subsets remain at the lowest activity. As a result, a remarkable reduction in the background circuit activity by more than 41% and favorable enhancement of detection sensitivity about 31% are achieved compared to the state-of-the-art method.