Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11425
Title: Security Vs Design Cost of Signature Driven Security Methodologies for Reusable Hardware IP Core
Authors: Chaurasia, Rahul
Sengupta, Anirban
Keywords: Cost benefit analysis;Intellectual property core;Internet protocols;Particle swarm optimization (PSO);Cost trade-off;Design costs;Digital signal processing security;Hardware;Hardware intellectual property;Particle swarm;Security design;Security methodologies;Swarm optimization;Tradeoff;Digital signal processing
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Chaurasia, R., & Sengupta, A. (2022). Symmetrical protection of ownership right's for IP buyer and IP vendor using facial biometric pairing. Paper presented at the Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022, 272-277. doi:10.1109/iSES54909.2022.00062 Retrieved from www.scopus.com
Abstract: This paper presents a novel approach for the exploration of security-design cost tradeoff for signature-based security methodologies used for detective control against intellectual property (IP) piracy/counterfeiting for digital signal processing (DSP) IP cores. The proposed approach offers low-cost hardware design architectural solutions for secured IP cores using particle swarm optimization (PSO). In the proposed approach, three different hardware security methodologies such as IP facial biometrics, encrypted-hashing and IP watermarking have been integrated with the PSO framework for exploring the hardware architecture tradeoffs of security-design cost for different DSP applications. The results of the presented approach include (i) analysis of low-cost architectural resource configuration, (ii) impact of signature strength on security-design cost fitness value and (iii) register count of the DSP IP core and (iv) security parameter such as probability of co-incidence for various security methodologies for varying (scalable) signature strength. © 2022 IEEE.
URI: https://doi.org/10.1109/iSES54909.2022.00064
https://dspace.iiti.ac.in/handle/123456789/11425
ISBN: 979-8350399226
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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