首页|Institute of Software Researchers Detail Research in Symmetric Cryptology (A Fra mework to Improve the Implementations of Linear Layers)
Institute of Software Researchers Detail Research in Symmetric Cryptology (A Fra mework to Improve the Implementations of Linear Layers)
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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.”
Institute of SoftwareBeijingPeople’s Republic of ChinaAsiaAlgorithmsMachine LearningSymmetric Cryptology
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