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Post-Quantum Cryptography

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Cover of 'Post-Quantum Cryptography'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Post-Quantum Cryptography
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    Chapter 2 On the Efficiency of Provably Secure NTRU
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    Chapter 3 A Polynomial-Time Algorithm for Solving a Class of Underdetermined Multivariate Quadratic Equations over Fields of Odd Characteristics
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    Chapter 4 Differential Properties of the HFE Cryptosystem
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    Chapter 5 The Cubic Simple Matrix Encryption Scheme
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    Chapter 6 RankSign: An Efficient Signature Algorithm Based on the Rank Metric
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    Chapter 7 Cryptanalysis of the Multivariate Signature Scheme Proposed in PQCrypto 2013
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    Chapter 8 Attacking Code-Based Cryptosystems with Information Set Decoding Using Special-Purpose Hardware
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    Chapter 9 Transcript Secure Signatures Based on Modular Lattices
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    Chapter 10 Post-Quantum Cryptography
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    Chapter 11 An Asymptotically Optimal Structural Attack on the ABC Multivariate Encryption Scheme
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    Chapter 12 Lattice Cryptography for the Internet
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    Chapter 13 Optimizing Information Set Decoding Algorithms to Attack Cyclosymmetric MDPC Codes
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    Chapter 14 ZHFE, a New Multivariate Public Key Encryption Scheme
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    Chapter 15 A Note on Quantum Security for Post-Quantum Cryptography
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    Chapter 16 Towards Side-Channel Resistant Implementations of QC-MDPC McEliece Encryption on Constrained Devices
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Mentioned by

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1 patent
wikipedia
12 Wikipedia pages

Citations

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13 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Post-Quantum Cryptography
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-11659-4
ISBNs
978-3-31-911658-7, 978-3-31-911659-4
Editors

Mosca, Michele

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%