Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13883
Title: Secure FFT IP using C way Partitioning based Obfuscation and Fingerprint
Authors: Sengupta, Anirban
Chaurasia, Rahul
Keywords: Fingerprint recognition;Finite element analysis;hardware security;HLS;IP networks;Layout;piracy;Registers;Resource management;Secure IP;Security
Issue Date: 2024
Publisher: IEEE Computer Society
Citation: Sengupta, A., & Chaurasia, R. (2024). Secure FFT IP using C way Partitioning based Obfuscation and Fingerprint. IEEE Design and Test. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192138105&doi=10.1109%2fMDAT.2024.3395981&partnerID=40&md5=6b598a9e6366c388e318ef8ad9f06505
Abstract: This paper presents a secure intellectual property (IP) core design of N-point decimation in time-fast Fourier transform (DIT-FFT) using C-way partitioning-based structural register transfer level (RTL) obfuscation and coded fingerprint biometric distribution using high level synthesis (HLS). The proposed methodology firstly generates the obfuscated design of FFT using RTL obfuscation, followed by scheduling each resulting partition, capable of hindering the RTL alteration. Next, the fingerprint biometric template is generated based on the minutiae feature points. Thereafter, IP vendor fingerprint signature is selected based on the coded distribution for embedding into each partition, capable of detecting pirated IP. Thus, by embedding the fingerprint security constraints into an obfuscated design, the proposed methodology enables robust security of FFT. IEEE
URI: https://doi.org/10.1109/MDAT.2024.3395981
https://dspace.iiti.ac.in/handle/123456789/13883
ISSN: 2168-2356
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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