Virtual Instrumentation-Based Malicious Circuit Detection Using Weighted Average Voting

Abstract

The security of an entire system can be breached owing to a Hardware Trojan attack on the chip. Though many techniques are available to detect the presence of a Trojan, most of them need a reference circuit or require sophisticated Electronic Design Automation tools. Moreover, golden reference circuits are not always available. However, with the usage of average-weighted voting algorithm, the use of reference circuits can be avoided to identify the infected circuits. The automation of the detection test can be achieved by the use of virtual instrumentation. The proposed method ensures the functionality of the circuit. The results obtained assert that this detection system is modular, flexible, and also supports the integrations to accommodate any VLSI circuit off the shelf. This eliminates the use of any complex systems and can act as a standalone Trojan detection system.