Publication Type : Journal Article
Publisher : Springer Verlag
Source : Advances in Intelligent Systems and Computing, Springer Verlag, Volume 672, p.608-617 (2018)
Keywords : Authentication, Benchmark circuit, Delay arcs, Detection efficiency, Digital circuits, Efficiency, Electric network analysis, Government agencies, Hardware, hardware security, Information systems, Information use, Malicious activities, malware, Nondestructive examination, Nondestructive methods, Systems analysis, Timing circuits, Voting algorithm, Voting method
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : pHardware 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. © Springer Nature Singapore Pte Ltd. 2018./p
Cite this Research Publication : V. R. R. Koneru, Teja, B. K., Reddy, K. D. B., GnanaSwaroop, M. V., Ramanidharan, B., and N Mohankumar, “HAPMAD: Hardware-based Authentication Platform for Malicious Activity Detection in Digital Circuits”, Advances in Intelligent Systems and Computing, vol. 672, pp. 608-617, 2018.