Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14977
Title: Designing Optimal Secure Hardware IPs for Consumer Electronics using Fingerprint Watermark and Evolutionary Algorithm Framework
Authors: Sengupta, Anirban
Chourasia, Vishal
Kumar, Nilesh
Dawar, Praveen
Keywords: fingerprint biometric;genetic algorithm;Hardware security;HLS;watermarking
Issue Date: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sengupta, A., Chourasia, V., Kumar, N., & Dawar, P. (2024). Designing Optimal Secure Hardware IPs for Consumer Electronics using Fingerprint Watermark and Evolutionary Algorithm Framework. ICFTSS 2024 - International Conference on Future Technologies for Smart Society. Scopus. https://doi.org/10.1109/ICFTSS61109.2024.10691365
Abstract: In the current era of digital world and embedded systems, a smart society is heavily reliant on cyber-security of the interconnected devices. Hardware security of the devices is integral to ensure comprehensive cyber-security. This paper presents a novel methodology to design optimal secure hardware intellectual property cores useful for consumer electronics systems used in smart cities. The proposed approach is based on the integration of fingerprint watermarking technique and evolutionary algorithmic framework. Experimental results of the proposed approach indicated enhanced security (in terms of standard probability of coincidence metric) than recent prior work, at minimal design cost and no register overhead. © 2024 IEEE.
URI: https://doi.org/10.1109/ICFTSS61109.2024.10691365
https://dspace.iiti.ac.in/handle/123456789/14977
ISBN: 979-8350373844
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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