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https://dspace.iiti.ac.in/handle/123456789/4577
Title: | Obfuscating DSP Hardware Accelerators in CE Systems Using Pseudo Operations Mixing |
Authors: | Rathor, Mahendra Sengupta, Anirban |
Keywords: | Audio systems;Digital signal processing;Digital signal processors;Malware;Mixing;Offshore oil well production;Reverse engineering;Video signal processing;Audio and video;Consumer electronics products;Digital signal processors (DSP);Hardware accelerators;Preventive control;Pseudo-operations;Reliability and safeties;Security mechanism;Hardware security |
Issue Date: | 2020 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Rathor, M., & Sengupta, A. (2020). Obfuscating DSP hardware accelerators in CE systems using pseudo operations mixing. Paper presented at the 2020 Zooming Innovation in Consumer Technologies Conference, ZINC 2020, 218-221. doi:10.1109/ZINC50678.2020.9161775 |
Abstract: | Digital signal processor (DSP) hardware accelerators are integrated in consumer electronics (CE) systems to facilitate image, audio and video processing applications. However, DSP hardware accelerators are vulnerable to hardware Trojan insertion threat because of involvement of untrusted offshore entities in the design chain. This leads to integration of Trojan infected designs into consumer electronics products, hence causing reliability and safety concerns for end consumers. Structural obfuscation is a security mechanism which offers a preventive control against Trojan insertion threat. This paper presents a pseudo operations mixing (POM) based novel structural obfuscation technique to secure DSP hardware accelerators against reverse engineering (RE), causing Trojan insertion threat. The proposed approach yielded a robust security at minimal design cost overhead than similar previous work. © 2020 IEEE. |
URI: | https://doi.org/10.1109/ZINC50678.2020.9161775 https://dspace.iiti.ac.in/handle/123456789/4577 |
ISBN: | 9781728182599 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Computer Science and Engineering |
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