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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 Cryptanalysis of the DECT Standard Cipher
  3. Altmetric Badge
    Chapter 2 Improving the Generalized Feistel
  4. Altmetric Badge
    Chapter 3 Nonlinear Equivalence of Stream Ciphers
  5. Altmetric Badge
    Chapter 4 Lightweight Privacy Preserving Authentication for RFID Using a Stream Cipher
  6. Altmetric Badge
    Chapter 5 Fast Software AES Encryption
  7. Altmetric Badge
    Chapter 6 Attacking the Knudsen-Preneel Compression Functions
  8. Altmetric Badge
    Chapter 7 Finding Preimages of Tiger Up to 23 Steps
  9. Altmetric Badge
    Chapter 8 Cryptanalysis of ESSENCE
  10. Altmetric Badge
    Chapter 9 Domain Extension for Enhanced Target Collision-Resistant Hash Functions
  11. Altmetric Badge
    Chapter 10 Security Analysis of the Mode of JH Hash Function
  12. Altmetric Badge
    Chapter 11 Enhanced Security Notions for Dedicated-Key Hash Functions: Definitions and Relationships
  13. Altmetric Badge
    Chapter 12 A Unified Method for Improving PRF Bounds for a Class of Blockcipher Based MACs
  14. Altmetric Badge
    Chapter 13 How to Thwart Birthday Attacks against MACs via Small Randomness
  15. Altmetric Badge
    Chapter 14 Constructing Rate-1 MACs from Related-Key Unpredictable Block Ciphers: PGV Model Revisited
  16. Altmetric Badge
    Chapter 15 Higher Order Differential Attack on Step-Reduced Variants of Luffa  v1
  17. Altmetric Badge
    Chapter 16 Rebound Attack on Reduced-Round Versions of JH
  18. Altmetric Badge
    Chapter 17 Pseudo-cryptanalysis of the Original Blue Midnight Wish
  19. Altmetric Badge
    Chapter 18 Differential and Invertibility Properties of BLAKE
  20. Altmetric Badge
    Chapter 19 Rotational Cryptanalysis of ARX
  21. Altmetric Badge
    Chapter 20 Another Look at Complementation Properties
  22. Altmetric Badge
    Chapter 21 Super-Sbox Cryptanalysis: Improved Attacks for AES-Like Permutations
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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Fast Software Encryption
Published by
ADS, June 2010
DOI 10.1007/978-3-642-13858-4
ISBNs
978-3-64-213857-7, 978-3-64-213858-4
Editors

Hong, Seokhie, Iwata, Tetsu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Unspecified 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 21 November 2023.
All research outputs
#3,967,705
of 24,892,887 outputs
Outputs from ADS
#2,234
of 37,297 outputs
Outputs of similar age
#13,837
of 99,916 outputs
Outputs of similar age from ADS
#20
of 309 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,297 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 92% 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 99,916 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 83% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.