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Advances in Cryptology -- CRYPTO 2015

Overview of attention for book
Cover of 'Advances in Cryptology -- CRYPTO 2015'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sieving for Shortest Vectors in Lattices Using Angular Locality-Sensitive Hashing
  3. Altmetric Badge
    Chapter 2 Coded-BKW: Solving LWE Using Lattice Codes
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    Chapter 3 An Improved BKW Algorithm for LWE with Applications to Cryptography and Lattices
  5. Altmetric Badge
    Chapter 4 Advances in Cryptology -- CRYPTO 2015
  6. Altmetric Badge
    Chapter 5 Links Among Impossible Differential, Integral and Zero Correlation Linear Cryptanalysis
  7. Altmetric Badge
    Chapter 6 On Reverse-Engineering S-Boxes with Hidden Design Criteria or Structure
  8. Altmetric Badge
    Chapter 7 Capacity and Data Complexity in Multidimensional Linear Attack
  9. Altmetric Badge
    Chapter 8 Observations on the SIMON Block Cipher Family
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    Chapter 9 Tweaking Even-Mansour Ciphers
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    Chapter 10 Multi-key Security: The Even-Mansour Construction Revisited
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    Chapter 11 Reproducible Circularly-Secure Bit Encryption: Applications and Realizations
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    Chapter 12 Zeroizing Without Low-Level Zeroes: New MMAP Attacks and their Limitations
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    Chapter 13 New Multilinear Maps Over the Integers
  15. Altmetric Badge
    Chapter 14 Constant-Round Concurrent Zero-Knowledge from Indistinguishability Obfuscation
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    Chapter 15 Indistinguishability Obfuscation from Compact Functional Encryption
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    Chapter 16 Efficient Pseudorandom Functions via On-the-Fly Adaptation
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    Chapter 17 The Iterated Random Permutation Problem with Applications to Cascade Encryption
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    Chapter 18 The Exact PRF Security of Truncation: Tight Bounds for Keyed Sponges and Truncated CBC
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    Chapter 19 An Algebraic Framework for Pseudorandom Functions and Applications to Related-Key Security
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    Chapter 20 Integral Cryptanalysis on Full MISTY1
  22. Altmetric Badge
    Chapter 21 New Attacks on Feistel Structures with Improved Memory Complexities
  23. Altmetric Badge
    Chapter 22 Known-Key Distinguisher on Full PRESENT
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    Chapter 23 Key-Recovery Attack on the ASASA Cryptosystem with Expanding S-Boxes
  25. Altmetric Badge
    Chapter 24 Online Authenticated-Encryption and its Nonce-Reuse Misuse-Resistance
  26. Altmetric Badge
    Chapter 25 Relational Hash: Probabilistic Hash for Verifying Relations, Secure Against Forgery and More
  27. Altmetric Badge
    Chapter 26 Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations
  28. Altmetric Badge
    Chapter 27 Cryptanalysis of the Co-ACD Assumption
  29. Altmetric Badge
    Chapter 28 Advances in Cryptology -- CRYPTO 2015
  30. Altmetric Badge
    Chapter 29 A Quasipolynomial Reduction for Generalized Selective Decryption on Trees
  31. Altmetric Badge
    Chapter 30 Practical Free-Start Collision Attacks on 76-step SHA-1
  32. Altmetric Badge
    Chapter 31 Fast Correlation Attacks over Extension Fields, Large-Unit Linear Approximation and Cryptanalysis of SNOW 2.0
  33. Altmetric Badge
    Chapter 32 Cryptanalysis of Full Sprout
  34. Altmetric Badge
    Chapter 33 Higher-Order Differential Meet-in-the-middle Preimage Attacks on SHA-1 and BLAKE
  35. Altmetric Badge
    Chapter 34 Decaf: Eliminating Cofactors Through Point Compression
  36. Altmetric Badge
    Chapter 35 Actively Secure OT Extension with Optimal Overhead
  37. Altmetric Badge
    Chapter 36 Algebraic Decomposition for Probing Security
  38. Altmetric Badge
    Chapter 37 Consolidating Masking Schemes
Attention for Chapter 28: Advances in Cryptology -- CRYPTO 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
6 tweeters

Citations

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6 Dimensions

Readers on

mendeley
23 Mendeley
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Chapter title
Advances in Cryptology -- CRYPTO 2015
Chapter number 28
Book title
Advances in Cryptology -- CRYPTO 2015
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-662-47989-6_28
Book ISBNs
978-3-66-247988-9, 978-3-66-247989-6
Authors

Ming-Deh A. Huang, Michiel Kosters, Sze Ling Yeo

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 4 17%
Other 2 9%
Professor 2 9%
Researcher 2 9%
Other 5 22%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 15 65%
Mathematics 2 9%
Physics and Astronomy 1 4%
Engineering 1 4%
Design 1 4%
Other 0 0%
Unknown 3 13%

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 26 May 2016.
All research outputs
#1,300,807
of 14,617,595 outputs
Outputs from Lecture notes in computer science
#339
of 7,474 outputs
Outputs of similar age
#31,961
of 262,335 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 85 outputs
Altmetric has tracked 14,617,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,474 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% 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 262,335 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 87% of its contemporaries.
We're also able to compare this research output to 85 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 97% of its contemporaries.