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Titlebook: Mathematical Modelling for Next-Generation Cryptography; CREST Crypto-Math Pr Tsuyoshi Takagi,Masato Wakayama,Dung Hoang Duong Book 2018 Sp

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書目名稱Mathematical Modelling for Next-Generation Cryptography
副標(biāo)題CREST Crypto-Math Pr
編輯Tsuyoshi Takagi,Masato Wakayama,Dung Hoang Duong
視頻videohttp://file.papertrans.cn/627/626389/626389.mp4
概述The first book to focus on areas that have not yet been fully exploited for cryptographic applications, such as representation theory and mathematical physics.Contributes to a better understanding of
叢書名稱Mathematics for Industry
圖書封面Titlebook: Mathematical Modelling for Next-Generation Cryptography; CREST Crypto-Math Pr Tsuyoshi Takagi,Masato Wakayama,Dung Hoang Duong Book 2018 Sp
描述This book presents the mathematical background underlying security modeling in the context of next-generation cryptography. By introducing new mathematical results in order to strengthen information security, while simultaneously presenting fresh insights and developing the respective areas of mathematics, it is the first-ever book to focus on areas that have not yet been fully exploited for cryptographic applications such as representation theory and mathematical physics, among others..?.Recent advances in cryptanalysis, brought about in particular by quantum computation and physical attacks on cryptographic devices, such as side-channel analysis or power analysis, have revealed the growing security risks for state-of-the-art cryptographic schemes. To address these risks, high-performance, next-generation cryptosystems must be studied, which requires the further development of the mathematical background of modern cryptography. More specifically., in order to avoid the security risks posed by adversaries with advanced attack capabilities, cryptosystems must be upgraded, which in turn relies on a wide range of mathematical theories.?.This book is suitable for use in an advanced gra
出版日期Book 2018
關(guān)鍵詞Next-generation Cryptographic Systems; Shortest Vector Problem; Quantum Interaction Models; Noise Model
版次1
doihttps://doi.org/10.1007/978-981-10-5065-7
isbn_softcover978-981-13-5309-3
isbn_ebook978-981-10-5065-7Series ISSN 2198-350X Series E-ISSN 2198-3518
issn_series 2198-350X
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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