HAPMAD: Hardware-Based Authentication Platform for Malicious Activity Detection in Digital Circuits

Hardware Trojans pose a major threat to the security of many industries and government agencies. This paper proposes a non-destructive method for detection of Hardware Trojans named HAPMAD-Hardware-Based Authentication Platform for Malicious Activity Detection in Digital Circuits using a combination of enhanced voting algorithm and hybrid voting algorithm (power and time analysis). Detecting a hardware Trojan is a cumbersome task. In most cases, the hardware Trojan can be detected only by activating it or by magnifying the Trojan activity. The detection efficiency using enhanced weighed voting is promising but in the case of Trojan circuits where there is no change in the output of the circuit; enhanced weighed voting algorithm fails to detect the Trojans effectively. Therefore, a two-phased voting algorithm is performed to increase the detection efficiency. ISCAS '85 Benchmark circuits were used to test the efficiency of the proposed technique.