Random Variation Aware Hardware Trojan Detection Through Power Based Side-Channel Analysis
Syful Islam · Institutional Repositories DataBase (IRDB) · 2019
Hardware security has become a growing concern in the design and test of chips since its manufacturing processes are becoming increasingly vulnerable due to malicious activities and alterations.These malicious addition and modification of circuits done by the intruders are commonly referred to as hardware Trojan (HT).Currently, power based side channel analysis is one of the most promising techniques in detecting HT.Due to elevated process variations as process technology nodes are rapidly scaled down; obtaining high detection sensitivity using power based side channel analysis is becoming a very challenging task.To overcome this challenge, initially the impact of random variation in detecting HT is analyzed.To accomplish this task, Mote Carlo simulation environment is established for analyzing dynamic power distribution due to random process variation.Based on the analysis of dynamic power variation, a new HT detection condition is derived.Afterward, we propose a new HT detection method named as ANP (Arbitrary neighboring test pattern pair comparison) based on the new HT detection condition.Finally, detectability of the ANP method is evaluated by injecting two type of HTs in benchmark circuits.The result shows that, ANP obtain relatively high detectability (ex:100%) for medium size HT (0.3-0.4% to a whole circuit) and 24%-100% for a small HT (0.07%-0.09% for some circuits) in presence of moderate random variation (0-1% relative standard deviation for * Master's Thesis, Graduate School of Information Science, Nara Institute of Science and Technology, September 12, 2019.i transistor delays) and still show some possibility of detection for elevated random variation (2-5% relative standard deviation for transistor delays).