Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13318
Title: Secured and Optimized Hardware Accelerators using Key-Controlled Encoded Hash Slices and Firefly Algorithm based Exploration
Authors: Sengupta, Anirban
Anshul, Aditya
Kothari, Chirag
Thakur, Sumer
Keywords: Firefly based design space exploration;Hardware security;Hash-slices;HLS;IP cores
Issue Date: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sengupta, A., Anshul, A., Kothari, C., & Thakur, S. (2023). Secured and Optimized Hardware Accelerators using Key-Controlled Encoded Hash Slices and Firefly Algorithm based Exploration. Proceedings of the International Conference on Microelectronics, ICM. Scopus. https://doi.org/10.1109/ICM60448.2023.10378911
Abstract: The design process of application-specific integrated circuits (ASICs) as hardware accelerators or reusable hardware intellectual property (IP) cores require considering various design goals like area, latency, and security against attacks such as IP piracy and false claims of IP ownership during architectural synthesis. The problem of IP piracy and false IP ownership claim poses a significant threat to hardware IP cores, jeopardizing innovation, fair competition, and economic growth. The proposed work introduces a novel security framework to design secured and optimized hardware accelerators using key-controlled encoded hash slices integrated with firefly algorithm (FF) based design space exploration (DSE) during high level synthesis (HLS). The proposed methodology also demonstrates the embedding of covert security constraints into an optimal 8-point DCT hardware IP design, obtained by performing a tradeoff between area and latency through the FF-based DSE. The proposed methodology achieves stronger tamper tolerance and entropy than recent approaches. The experimental results also provide design cost assessment and optimality analysis. © 2023 IEEE.
URI: https://doi.org/10.1109/ICM60448.2023.10378911
https://dspace.iiti.ac.in/handle/123456789/13318
ISBN: 979-8350380828
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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