EA-based Mitigation of Hardware Trojan Attacks in NoC of Coarse-Grained Reconfigurable Arrays

Abstract

Coarse-Grained Reconfigurable Arrays (CGRA) im-plemented using FPGA are widely applied due to the portability and compatibility. As an evolvable hardware (EHW) platform, it also faces hardware security problems, among which hardware Trojans (HTs) is the most prominent threat. HTs are malicious hardware components. Once implanted in the route units (RUs) of the network-on-chip (NoC) in CGRA, it will leak confidential information or destroy the entire system. However, few studies have focused on HT mitigation in RUs of NoC in CGRA. To this end, we present an evolutionary algorithm (EA)-based method to mitigate HT attacks in NoC of CGRA. Specifically, we employ the EA to explore generating the circuit structures that do not contain HT-infected RUs. In the simulation experiments built using Python, this paper reports the experimental results for two target evolutionary circuits in NoC and outlines the effectiveness of the proposed method.