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Fast Software Encryption

Overview of attention for book
Cover of 'Fast Software Encryption'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 New Bounds for Keyed Sponges with Extendable Output: Independence Between Capacity and Message Length
  3. Altmetric Badge
    Chapter 2 RIV for Robust Authenticated Encryption
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    Chapter 3 A MAC Mode for Lightweight Block Ciphers
  5. Altmetric Badge
    Chapter 4 Fast Software Encryption
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    Chapter 5 Attacks Against Filter Generators Exploiting Monomial Mappings
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    Chapter 6 Lightweight MDS Generalized Circulant Matrices
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    Chapter 7 On the Construction of Lightweight Circulant Involutory MDS Matrices
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    Chapter 8 Optimizing S-Box Implementations for Several Criteria Using SAT Solvers
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    Chapter 9 Verifiable Side-Channel Security of Cryptographic Implementations: Constant-Time MEE-CBC
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    Chapter 10 White-Box Cryptography in the Gray Box
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    Chapter 11 Detecting Flawed Masking Schemes with Leakage Detection Tests
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    Chapter 12 There Is Wisdom in Harnessing the Strengths of Your Enemy: Customized Encoding to Thwart Side-Channel Attacks
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    Chapter 13 Automatic Search for Key-Bridging Technique: Applications to LBlock and TWINE
  15. Altmetric Badge
    Chapter 14 MILP-Based Automatic Search Algorithms for Differential and Linear Trails for Speck
  16. Altmetric Badge
    Chapter 15 Automatic Search for the Best Trails in ARX: Application to Block Cipher Speck
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    Chapter 16 Stream Ciphers: A Practical Solution for Efficient Homomorphic-Ciphertext Compression
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    Chapter 17 Efficient Design Strategies Based on the AES Round Function
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    Chapter 18 Bit-Based Division Property and Application to Simon Family
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    Chapter 19 Algebraic Insights into the Secret Feistel Network
  21. Altmetric Badge
    Chapter 20 Integrals Go Statistical: Cryptanalysis of Full Skipjack Variants
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    Chapter 21 Note on Impossible Differential Attacks
  23. Altmetric Badge
    Chapter 22 Improved Linear Hull Attack on Round-Reduced Simon with Dynamic Key-Guessing Techniques
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    Chapter 23 Modeling Random Oracles Under Unpredictable Queries
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    Chapter 24 Practical Order-Revealing Encryption with Limited Leakage
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    Chapter 25 Strengthening the Known-Key Security Notion for Block Ciphers
  27. Altmetric Badge
    Chapter 26 Related-Key Almost Universal Hash Functions: Definitions, Constructions and Applications
  28. Altmetric Badge
    Chapter 27 Key Recovery Attack Against 2.5-Round \(\pi \) -Cipher
  29. Altmetric Badge
    Chapter 28 Cryptanalysis of Reduced NORX
  30. Altmetric Badge
    Chapter 29 Analysis of the Kupyna-256 Hash Function
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
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Fast Software Encryption
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-662-52993-5
ISBNs
978-3-66-252992-8, 978-3-66-252993-5
Editors

Thomas Peyrin

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 %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Master 4 14%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Researcher 1 3%
Other 1 3%
Unknown 12 41%
Readers by discipline Count As %
Computer Science 10 34%
Mathematics 3 10%
Engineering 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 April 2023.
All research outputs
#4,906,861
of 23,578,918 outputs
Outputs from Lecture notes in computer science
#1,584
of 8,153 outputs
Outputs of similar age
#83,235
of 396,479 outputs
Outputs of similar age from Lecture notes in computer science
#197
of 583 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 79% 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 396,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.