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Cryptanalysis of SPEEDY

Authors: Wang, Jinliang; Niu, Chao; Liu, Qun; Li, Muzhou; Preneel, Bart; Wang, Meiqin;
Abstract

sponsorship: The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. This work is supported by the National Key Research and Development Program of China (Grant No. 2018YFA0704702), the National Natural Science Foundation of China (Grant No. 62032014), the Major Basic Research Project of Natural Science Foundation of Shandong Province, China (Grant No. ZR202010220025). The corresponding author is also supported by Qingdao Innovation project (Grant No. QDBSH20230101008). (National Key Research and Development Program of China|2018YFA0704702, National Natural Science Foundation of China|62032014, Major Basic Research Project of Natural Science Foundation of Shandong Province, China|ZR202010220025, Qingdao Innovation project|QDBSH20230101008)

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Keywords

Technology, Science & Technology, Computer Science, Information Systems, Low Latency, Computer Science, Theory & Methods, Physical Sciences, Computer Science, Mathematics, Applied, SPEEDY, Lightweight Cryptography, Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green