By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on symmetric cryptology is the subje ct of a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents a novel a pproach to optimizing the linear layer of block ciphers using the matrix decompo sition framework.” Our news editors obtained a quote from the research from Institute of Software: “It is observed that the reduction properties proposed by Xiang et al. (in FSE 2 020) need to be improved. To address these limitations, we propose a new reducti on framework with a complete reduction algorithm and swapping algorithm. Our app roach formulates matrix decomposition as a new framework with an adaptive object ive function and converts the problem to a Graph Isomorphism problem (GI problem ). Using the new reduction algorithm, we were able to achieve lower XOR counts a nd depths of quantum implementations under the s-XOR metric. Our results outperf orm previous works for many linear layers of block ciphers and hash functions; s ome of them are better than the current g-XOR implementation.”
Key words
Institute of Software/Beijing/People’s Republic of China/Asia/Algorithms/Machine Learning/Symmetric Cryptology
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