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Analysis of Software Implemented Low Entropy Masking Schemes
Joint Authors
Wang, An
Wang, Xiaoyun
Li, Dan
Chen, Jiazhe
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Low Entropy Masking Schemes (LEMS) are countermeasure techniques to mitigate the high performance overhead of masked hardware and software implementations of symmetric block ciphers by reducing the entropy of the mask sets.
The security of LEMS depends on the choice of the mask sets.
Previous research mainly focused on searching balanced mask sets for hardware implementations.
In this paper, we find that those balanced mask sets may have vulnerabilities in terms of absolute difference when applied in software implemented LEMS.
The experiments verify that such vulnerabilities certainly make the software LEMS implementations insecure.
To fix the vulnerabilities, we present a selection criterion to choose the mask sets.
When some feasible mask sets are already picked out by certain searching algorithms, our selection criterion could be a reference factor to help decide on a more secure one for software LEMS.
American Psychological Association (APA)
Li, Dan& Chen, Jiazhe& Wang, An& Wang, Xiaoyun. 2018. Analysis of Software Implemented Low Entropy Masking Schemes. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214327
Modern Language Association (MLA)
Li, Dan…[et al.]. Analysis of Software Implemented Low Entropy Masking Schemes. Security and Communication Networks No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1214327
American Medical Association (AMA)
Li, Dan& Chen, Jiazhe& Wang, An& Wang, Xiaoyun. Analysis of Software Implemented Low Entropy Masking Schemes. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214327