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Progress in Cryptology -- LATINCRYPT 2015

Overview of attention for book
Cover of 'Progress in Cryptology -- LATINCRYPT 2015'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Efficient RKA-Secure KEM and IBE Schemes Against Invertible Functions
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    Chapter 2 Simulation-Based Secure Functional Encryption in the Random Oracle Model
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    Chapter 3 The Simplest Protocol for Oblivious Transfer
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    Chapter 4 Depth Optimized Efficient Homomorphic Sorting
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    Chapter 5 The Chain Rule for HILL Pseudoentropy, Revisited
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    Chapter 6 Faster Sieving for Shortest Lattice Vectors Using Spherical Locality-Sensitive Hashing
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    Chapter 7 FHEW with Efficient Multibit Bootstrapping
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    Chapter 8 Improved Top-Down Techniques in Differential Cryptanalysis
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    Chapter 9 Algebraic Analysis of the Simon Block Cipher Family
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    Chapter 10 Cryptanalysis of the Full 8.5-Round REESSE3+ Block Cipher
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    Chapter 11 Meet-in-the-Middle Attacks on Reduced-Round Hierocrypt-3
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    Chapter 12 State-Recovery Analysis of Spritz
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    Chapter 13 Computing Optimal 2-3 Chains for Pairings
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    Chapter 14 Subgroup Security in Pairing-Based Cryptography
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    Chapter 15 Twisted Hessian Curves
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    Chapter 16 Improved Sieving on Algebraic Curves
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    Chapter 17 Attacking a Binary GLS Elliptic Curve with Magma
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    Chapter 18 Fast Implementation of Curve25519 Using AVX2
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    Chapter 19 High-Performance Ideal Lattice-Based Cryptography on 8-Bit ATxmega Microcontrollers
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    Chapter 20 An Efficient Software Implementation of the Hash-Based Signature Scheme MSS and Its Variants
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
3 X users
patent
2 patents
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Progress in Cryptology -- LATINCRYPT 2015
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-22174-8
ISBNs
978-3-31-922173-1, 978-3-31-922174-8
Editors

Kristin Lauter, Francisco Rodríguez-Henríquez

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 6 26%
Researcher 4 17%
Student > Bachelor 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 13 57%
Mathematics 4 17%
Engineering 3 13%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2024.
All research outputs
#2,579,037
of 25,728,350 outputs
Outputs from Lecture notes in computer science
#454
of 8,171 outputs
Outputs of similar age
#33,942
of 361,492 outputs
Outputs of similar age from Lecture notes in computer science
#35
of 257 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,171 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.