978-981-19-0920-7.pdf

This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shan...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: Springer Nature 2022
Διαθέσιμο Online:https://link.springer.com/978-981-19-0920-7
id oapen-20.500.12657-54458
record_format dspace
spelling oapen-20.500.12657-544582022-05-14T02:53:40Z Modern Cryptography Volume 1 Zheng, Zhiyong Modern Cryptography Computational Complexity Hamming Distance Shannon Theorem Source Coding Theorem Optimal Code Theory Statistical Characteristics of Cryptosystem Elliptic Curve Public Key Cryptosystem Integer Lattice and Q-ary Lattice NTRU Cryptosystem and Ajtai/Dwork Cryptosystem bic Book Industry Communication::K Economics, finance, business & management::KF Finance & accounting::KFF Finance bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography, RSA, discrete logarithm and elliptic curve cryptosystem. It aims to indicate what it is and why it is. It systematically simplifies and combs the theory and technology of lattice cryptography, which is the greatest feature of this book. It requires a good knowledge in algebra, number theory and probability statistics for readers to read this book. The senior students majoring in mathematics, compulsory for cryptography and science and engineering postgraduates will find this book helpful. It can also be used as the main reference book for researchers in cryptography and cryptographic engineering areas. 2022-05-13T12:19:53Z 2022-05-13T12:19:53Z 2022 book ONIX_20220513_9789811909207_50 9789811909207 https://library.oapen.org/handle/20.500.12657/54458 eng Financial Mathematics and Fintech application/pdf n/a 978-981-19-0920-7.pdf https://link.springer.com/978-981-19-0920-7 Springer Nature Springer Nature Singapore 10.1007/978-981-19-0920-7 10.1007/978-981-19-0920-7 6c6992af-b843-4f46-859c-f6e9998e40d5 9789811909207 Springer Nature Singapore 359 Singapore open access
institution OAPEN
collection DSpace
language English
description This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography, RSA, discrete logarithm and elliptic curve cryptosystem. It aims to indicate what it is and why it is. It systematically simplifies and combs the theory and technology of lattice cryptography, which is the greatest feature of this book. It requires a good knowledge in algebra, number theory and probability statistics for readers to read this book. The senior students majoring in mathematics, compulsory for cryptography and science and engineering postgraduates will find this book helpful. It can also be used as the main reference book for researchers in cryptography and cryptographic engineering areas.
title 978-981-19-0920-7.pdf
spellingShingle 978-981-19-0920-7.pdf
title_short 978-981-19-0920-7.pdf
title_full 978-981-19-0920-7.pdf
title_fullStr 978-981-19-0920-7.pdf
title_full_unstemmed 978-981-19-0920-7.pdf
title_sort 978-981-19-0920-7.pdf
publisher Springer Nature
publishDate 2022
url https://link.springer.com/978-981-19-0920-7
_version_ 1771297488281534464