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https://dspace.iiti.ac.in/handle/123456789/9743
Title: | Securing Reusable Hardware IP cores using Palmprint Biometric |
Authors: | Chaurasia, Rahul Sengupta, Anirban |
Keywords: | Anthropometry|Biometrics|Crime|Integrated circuits|Intellectual property|Intellectual property core|Contact less|Electronics system|Hardware intellectual property|Hardware IP|Market demand|Palmprint biometric|Palmprints|Piracy|Piracy threat|Third party vendors|Supply chains |
Issue Date: | 2021 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Chaurasia, R., & Sengupta, A. (2021). Securing reusable hardware IP cores using palmprint biometric. Paper presented at the Proceedings - 2021 IEEE International Symposium on Smart Electronic Systems, iSES 2021, 410-413. doi:10.1109/iSES52644.2021.00099 Retrieved from www.scopus.com |
Abstract: | This paper presents a novel contact-less palmprint biometric based approach for securing reusable hardware IP cores against piracy threat. As the modern integrated circuits (ICs) supply chain involves third party vendors to meet the market demand, an unauthorized intellectual property (IP) vendor may counterfeit the hardware IPs and infuse them into the design. Thus, fake IPs or ICs may unknowingly or deliberately be assimilated into consumer electronics (CE) systems, leading to reliability and safety concerns for end consumers. In the proposed approach, the authentic palmprint biometric is first converted into its equivalent palmprint signature digital template based on a selected feature set. Subsequently, embedding of the palmprint signature's digital template in the form of secret biometric constraints into the design is performed to distinguish between counterfeited and authentic IP core(s). The proposed approach presents a non-replicable and non-vulnerable solution achieving stronger security in terms of temper tolerance (TT) and probability of coincidence (Pc) than the state of the art techniques. © 2021 IEEE.All rights reserved. |
URI: | https://dspace.iiti.ac.in/handle/123456789/9743 https://doi.org/10.1109/iSES52644.2021.00099 |
ISBN: | 978-1728187532 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Computer Science and Engineering |
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