A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64

Simeck, a lightweight block cipher has been proposed to be one of the encryption that can be employed in the Internet of Things (IoT) applications. Therefore, this paper presents the security of the Simeck32/64 block cipher against side-channel cube attack. We exhibit our attack against Simeck32/64...

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Bibliographic Details
Published in:International Journal of Computer Networks and Communications
Main Author: Buja A.G.; Abdul-Latip S.F.; Ahmad R.
Format: Article
Language:English
Published: Academy and Industry Research Collaboration Center (AIRCC) 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054032890&doi=10.5121%2fijcnc.2018.10406&partnerID=40&md5=d9e7aa14378951df3b015b533f580db6
id 2-s2.0-85054032890
spelling 2-s2.0-85054032890
Buja A.G.; Abdul-Latip S.F.; Ahmad R.
A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
2018
International Journal of Computer Networks and Communications
10
4
10.5121/ijcnc.2018.10406
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054032890&doi=10.5121%2fijcnc.2018.10406&partnerID=40&md5=d9e7aa14378951df3b015b533f580db6
Simeck, a lightweight block cipher has been proposed to be one of the encryption that can be employed in the Internet of Things (IoT) applications. Therefore, this paper presents the security of the Simeck32/64 block cipher against side-channel cube attack. We exhibit our attack against Simeck32/64 using the Hamming weight leakage assumption to extract linearly independent equations in key bits. We have been able to find 32 linearly independent equations in 32 key variables by only considering the second bit from the LSB of the Hamming weight leakage of the internal state on the fourth round of the cipher. This enables our attack to improve previous attacks on Simeck32/64 within side-channel attack model with better time and data complexity of 235 and 211.29 respectively. © 2018, Academy and Industry Research Collaboration Center (AIRCC).
Academy and Industry Research Collaboration Center (AIRCC)
9752293
English
Article
All Open Access; Bronze Open Access; Green Open Access
author Buja A.G.; Abdul-Latip S.F.; Ahmad R.
spellingShingle Buja A.G.; Abdul-Latip S.F.; Ahmad R.
A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
author_facet Buja A.G.; Abdul-Latip S.F.; Ahmad R.
author_sort Buja A.G.; Abdul-Latip S.F.; Ahmad R.
title A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
title_short A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
title_full A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
title_fullStr A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
title_full_unstemmed A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
title_sort A security analysis of Iot encryption: Sidechannel cube attack on Simeck32/64
publishDate 2018
container_title International Journal of Computer Networks and Communications
container_volume 10
container_issue 4
doi_str_mv 10.5121/ijcnc.2018.10406
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054032890&doi=10.5121%2fijcnc.2018.10406&partnerID=40&md5=d9e7aa14378951df3b015b533f580db6
description Simeck, a lightweight block cipher has been proposed to be one of the encryption that can be employed in the Internet of Things (IoT) applications. Therefore, this paper presents the security of the Simeck32/64 block cipher against side-channel cube attack. We exhibit our attack against Simeck32/64 using the Hamming weight leakage assumption to extract linearly independent equations in key bits. We have been able to find 32 linearly independent equations in 32 key variables by only considering the second bit from the LSB of the Hamming weight leakage of the internal state on the fourth round of the cipher. This enables our attack to improve previous attacks on Simeck32/64 within side-channel attack model with better time and data complexity of 235 and 211.29 respectively. © 2018, Academy and Industry Research Collaboration Center (AIRCC).
publisher Academy and Industry Research Collaboration Center (AIRCC)
issn 9752293
language English
format Article
accesstype All Open Access; Bronze Open Access; Green Open Access
record_format scopus
collection Scopus
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