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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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