Analysis of Software Implemented Low Entropy Masking Schemes

By a News Reporter-Staff News Editor at Computer Weekly News -- New research on Networks - Security and Communication Networks is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by VerticalNews editors, research stated, “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.”

Financial supporters for this research include National Key Research and Development Program of China, National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, National Cryptography Development Fund, 973 Program.

Our news journalists obtained a quote from the research, “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.”

According to the news editors, the research concluded: “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.”

For more information on this research see: Analysis of Software Implemented Low Entropy Masking Schemes. Security and Communication Networks , 2018;():1-8. Security and Communication Networks can be contacted at: Wiley-Hindawi, Adam House, 3RD Fl, 1 Fitzroy Sq, London, Wit 5HE, England. (Wiley-Blackwell - http://www.wiley.com/; Security and Communication Networks - http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0122)

Our news journalists report that additional information may be obtained by contacting J.Z. Chen, China Informat Technol Secur Evaluat Center, Beijing 100085, People’s Republic of China. Additional authors for this research include D. Li, A. Wang and X.Y. Wang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1155/2018/7206835. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2018, NewsRx LLC

CITATION: (2018-05-09), New Data from J.Z. Chen et al Illuminate Findings in Security and Communication Networks (Analysis of Software Implemented Low Entropy Masking Schemes), Computer Weekly News, 489, ISSN: 1944-1606, BUTTER® ID: 015632191

From the newsletter Computer Weekly News.
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