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Public-Key Cryptography – PKC 2017

Overview of attention for book
Cover of 'Public-Key Cryptography – PKC 2017'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 LP Solutions of Vectorial Integer Subset Sums – Cryptanalysis of Galbraith’s Binary Matrix LWE
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    Chapter 2 Improved Algorithms for the Approximate k-List Problem in Euclidean Norm
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    Chapter 3 Zeroizing Attacks on Indistinguishability Obfuscation over CLT13
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    Chapter 4 Cut Down the Tree to Achieve Constant Complexity in Divisible E-cash
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    Chapter 5 Asymptotically Tight Bounds for Composing ORAM with PIR
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    Chapter 6 Predictable Arguments of Knowledge
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    Chapter 7 Removing Erasures with Explainable Hash Proof Systems
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    Chapter 8 Scalable Multi-party Private Set-Intersection
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    Chapter 9 Tightly Secure IBE Under Constant-Size Master Public Key
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    Chapter 10 Separating IND-CPA and Circular Security for Unbounded Length Key Cycles
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    Chapter 11 Structure-Preserving Chosen-Ciphertext Security with Shorter Verifiable Ciphertexts
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    Chapter 12 Non-malleable Codes with Split-State Refresh
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    Chapter 13 Tight Upper and Lower Bounds for Leakage-Resilient, Locally Decodable and Updatable Non-malleable Codes
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    Chapter 14 Fully Leakage-Resilient Codes
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    Chapter 15 On the Bit Security of Elliptic Curve Diffie–Hellman
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    Chapter 16 Extended Tower Number Field Sieve with Application to Finite Fields of Arbitrary Composite Extension Degree
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    Chapter 17 Provably Secure NTRU Instances over Prime Cyclotomic Rings
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    Chapter 18 Equivalences and Black-Box Separations of Matrix Diffie-Hellman Problems
Attention for Chapter 7: Removing Erasures with Explainable Hash Proof Systems
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29 Mendeley
Summary
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Chapter title
Removing Erasures with Explainable Hash Proof Systems
Chapter number 7
Book title
Public-Key Cryptography – PKC 2017
Published by
Springer, Berlin, Heidelberg, March 2017
DOI 10.1007/978-3-662-54365-8_7
Book ISBNs
978-3-66-254364-1, 978-3-66-254365-8
Authors

Michel Abdalla, Fabrice Benhamouda, David Pointcheval

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Student > Master 6 21%
Researcher 3 10%
Other 2 7%
Student > Doctoral Student 1 3%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 20 69%
Mathematics 2 7%
Physics and Astronomy 2 7%
Design 2 7%
Unknown 3 10%

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