Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4972
Title: DSP design protection in CE through algorithmic transformation based structural obfuscation
Authors: Sengupta, Anirban
Roy, Dipanjan
Keywords: Digital signal processing;Digital signal processors;Intellectual property core;Particle swarm optimization (PSO);Programmable logic controllers;Signal processing;System-on-chip;Algorithmic transformation;Architectural synthesis;Digital signal processing (DSP);Digital signal processors (DSP);High-level transformations;IP protection;Loop-invariant code motion;structural obfuscation;Integrated circuit design
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sengupta, A., Roy, D., Mohanty, S. P., & Corcoran, P. (2017). DSP design protection in CE through algorithmic transformation based structural obfuscation. IEEE Transactions on Consumer Electronics, 63(4), 467-476. doi:10.1109/TCE.2017.015072
Abstract: Structural obfuscation offers a means to effectively secure through obfuscation the contents of an intellectual property (IP) cores used in an electronic system-on-chip (SoC). In this work a novel structural obfuscation methodology for protecting a digital signal processor (DSP) IP core at the architectural synthesis design stage. The proposed approach specifically targets protection of IP cores that involve complex loops. Five different algorithmic level transformation techniques are employed: loop unrolling, loop invariant code motion, tree height reduction/increment, logic transformation and redundant operation removal. Each of these can yield camouflaged functionally equivalent designs. In addition, low cost obfuscated design is generated through proposed approach through the use of multi-stage algorithmic transformation and particle swarm optimization (PSO)-drive design space exploration (DSE). Results of proposed approach yielded an enhancement obfuscation of 22 % and reduction in obfuscated design cost of 55 % compared to similar prior art. © 2017 IEEE.
URI: https://doi.org/10.1109/TCE.2017.015072
https://dspace.iiti.ac.in/handle/123456789/4972
ISSN: 0098-3063
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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