Publication Type:

Journal Article

Source:

Lecture Notes in Electrical Engineering, Springer Verlag, Volume 471, p.423-431 (2018)

ISBN:

9789811073281

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041811628&doi=10.1007%2f978-981-10-7329-8_43&partnerID=40&md5=a387763ab1f0dce7eb7f70ea08a75146

Keywords:

computer aided design, detection system, Electronic design automation tools, Flexible electronics, Hardware, hardware security, Malicious attack, Malicious circuits, malware, Microelectronics, Network security, Reference circuits, Statistical methods, Timing circuits, Trojan detections, virtual instrumentation, Weighted average voting

Abstract:

<p>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. © Springer Nature Singapore Pte Ltd. 2018.</p>

Notes:

cited By 0; Conference of International Conference on Microelectronics, Electromagnetics and Telecommunications, ICMEET 2017 ; Conference Date: 9 September 2017 Through 10 September 2017; Conference Code:210189

Cite this Research Publication

G. Aishwarya, Revalla, H., Shruthi, S., Ananth, V. S. P., and Mohankumar, N., “Virtual Instrumentation-Based Malicious Circuit Detection Using Weighted Average Voting”, Lecture Notes in Electrical Engineering, vol. 471, pp. 423-431, 2018.

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