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https://dspace.iiti.ac.in/handle/123456789/11422
| Title: | Designing Low Cost Secured DSP Core using Steganography and PSO for CE systems |
| Authors: | Anshul, Aditya Bharath, K. K. Sengupta, Anirban |
| Keywords: | Coprocessor;Costs;Discrete cosine transforms;Internet protocols;Particle swarm optimization (PSO);Steganography;Co-processors;Digital signal processing coprocessor;Electronics system;Low-costs;Particle swarm;Particle swarm optimization;Processing core;Security approach;Signal processing hardwares;Swarm optimization;Digital signal processing |
| Issue Date: | 2022 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Anshul, A., Bharath, K., & Sengupta, A. (2022). Designing low cost secured DSP core using steganography and PSO for CE systems. Paper presented at the Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022, 95-100. doi:10.1109/iSES54909.2022.00030 Retrieved from www.scopus.com |
| Abstract: | Digital signal processing (DSP) cores are an essential component of consumer electronics (CE) systems. These DSP intellectual property (IP) cores are prone to threats such as piracy and counterfeiting and therefore need security using sophisticated low-cost techniques. This paper presents a novel low-cost security approach for designing a low-cost DSP hardware core using a signature-free steganography algorithm and particle swarm optimization (PSO). The proposed security methodology achieves higher robustness (i.e., stronger digital evidence as evident from the lower probability of coincidence) and lower design cost than state-of-the-art watermarking approaches. The proposed method integrates IP steganography with PSO-based Design Space Exploration (DSE) to generate low-cost secured DSP hardware architecture. This work also demonstrates the proposed approach on discrete cosine transform (DCT) IP core. © 2022 IEEE. |
| URI: | https://doi.org/10.1109/iSES54909.2022.00030 https://dspace.iiti.ac.in/handle/123456789/11422 |
| ISBN: | 979-8350399226 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Computer Science and Engineering |
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