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Mathematical Modelling for Next-Generation Cryptography

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Cover of 'Mathematical Modelling for Next-Generation Cryptography'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to CREST Crypto-Math Project
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    Chapter 2 Multivariate Public Key Cryptosystems
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    Chapter 3 Code-Based Zero-Knowledge Protocols and Their Applications
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    Chapter 4 Hash Functions Based on Ramanujan Graphs
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    Chapter 5 Pairings on Hyperelliptic Curves with Considering Recent Progress on the NFS Algorithms
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    Chapter 6 Efficient Algorithms for Isogeny Sequences and Their Cryptographic Applications
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    Chapter 7 Spectral Degeneracies in the Asymmetric Quantum Rabi Model
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    Chapter 8 Spectra of Group-Subgroup Pair Graphs
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    Chapter 9 Ramanujan Cayley Graphs of the Generalized Quaternion Groups and the Hardy–Littlewood Conjecture
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    Chapter 10 Uniform Random Number Generation and Secret Key Agreement for General Sources by Using Sparse Matrices
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    Chapter 11 Mathematical Approach for Recovering Secret Key from Its Noisy Version
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    Chapter 12 Simple Analysis of Key Recovery Attack Against LWE
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    Chapter 13 A Mixed Integer Quadratic Formulation for the Shortest Vector Problem
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    Chapter 14 On Analysis of Recovering Short Generator Problems via Upper and Lower Bounds of Dirichlet L -Functions: Part 1
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    Chapter 15 On Analysis of Recovering Short Generator Problems via Upper and Lower Bounds of Dirichlet L -functions: Part 2
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    Chapter 16 Recent Progress on Coppersmith’s Lattice-Based Method: A Survey
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    Chapter 17 How to Strengthen the Security of Signature Schemes in the Leakage Models: A Survey
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    Chapter 18 Constructions for the IND-CCA1 Secure Fully Homomorphic Encryption
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    Chapter 19 A Survey on Identity-Based Encryption from Lattices
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Title
Mathematical Modelling for Next-Generation Cryptography
Published by
Springer Singapore, January 2018
DOI 10.1007/978-981-10-5065-7
ISBNs
978-9-81-105065-7, 978-9-81-105064-0
Editors

Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Dung H. Duong

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Student > Master 2 25%
Other 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Engineering 2 25%
Materials Science 1 13%
Mathematics 1 13%
Unknown 1 13%