Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4594
Title: Low-Overhead Robust RTL Signature for DSP Core Protection: New Paradigm for Smart CE Design
Authors: Sengupta, Anirban
Roy, Dipanjan
Keywords: Digital devices;Digital signal processors;Embeddings;FIR filters;Intellectual property core;Area overhead;Design process;Digital signal processors (DSP);Embedding process;Low overhead;Multimedia processors;Register transfer level;RTL designs;Digital signal processing
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sengupta, A., Roy, D., & Mohanty, S. P. (2019). Low-overhead robust RTL signature for DSP core protection: New paradigm for smart CE design. Paper presented at the 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, doi:10.1109/ICCE.2019.8661835
Abstract: The design process of smart Consumer Electronics (CE) devices heavily relies on reusable Intellectual Property (IP) cores of Digital Signal Processor (DSP) and Multimedia Processor (MP). On the other hand, due to strict competition and rivalry between IP vendors, the problem of ownership conflict and IP piracy is surging. Therefore, to design a secured smart CE device, protection of DSP/MP IP core is essential. Embedding a robust IP owner's signature can protect an IP core from ownership abuse and forgery. This paper presents a covert signature embedding process for DSP/MP IP core at Register-transfer level (RTL). The secret marks of the signature are distributed over the entire design such that it provides higher robustness. For example for 8th order FIR filter, it incurs only between 6% and 3% area overhead for maximum and minimum size signature respectively compared to the non-signature FIR RTL design but with significantly enhanced security. © 2019 IEEE.
URI: https://doi.org/10.1109/ICCE.2019.8661835
https://dspace.iiti.ac.in/handle/123456789/4594
ISBN: 9781538679104
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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