Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4607
Title: Crypto based Multi-Variable Fingerprinting for Protecting DSP cores
Authors: Sengupta, Anirban
Singh, Utkarsh Kumar
Premchand, Piyush Kalkute
Keywords: Digital signal processing;Embeddings;High level synthesis;Sales;Baseline design;Design process;Hashing techniques;Multi variables;Protection methodology;Rights protection;Security challenges;Strong robustness;Consumer protection
Issue Date: 2019
Publisher: IEEE Computer Society
Citation: Sengupta, A., Singh, U. K., & Premchand, P. K. (2019). Crypto based multi-variable fingerprinting for protecting DSP cores. Paper presented at the IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, , 2019-January 1-6. doi:10.1109/ICCE-Berlin47944.2019.9127235
Abstract: In the design process of Consumer Electronics (CE) systems, there are several security challenges for a vendor or a buyer to ensure IP rights protection. This paper proposes a novel crypto framework based IP core protection methodology for DSP kernels that embeds a buyer fingerprint into a design during high level synthesis (HLS). The proposed signature encoding for fingerprint is multi-variable in nature offering stronger robustness, low embedding cost and low design overhead. It also makes use of a secure hashing technique to derive the fingerprint signature which provides an added level of security against counterfeiting. Upon testing on standard DSP benchmarks, it was found that the proposed approach satisfies all the major protection features of a fingerprint such as strong robustness to the buyer, low overhead, low run time and low embedding cost. Further with respect to the baseline design (with no fingerprint), the proposed approach offers robustness at 0% design cost overhead. Additionally on comparison with a related work, the proposed approach offers a lesser design cost and lesser area overhead without compromising robustness. © 2019 IEEE.
URI: https://doi.org/10.1109/ICCE-Berlin47944.2019.9127235
https://dspace.iiti.ac.in/handle/123456789/4607
ISSN: 2166-6814
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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