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Advances in Cryptology – CRYPTO 2013

Overview of attention for book
Cover of 'Advances in Cryptology – CRYPTO 2013'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Practical Bootstrapping in Quasilinear Time
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    Chapter 2 Hardness of SIS and LWE with Small Parameters
  4. Altmetric Badge
    Chapter 3 Lattice Signatures and Bimodal Gaussians
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    Chapter 4 Learning with Rounding, Revisited
  6. Altmetric Badge
    Chapter 5 Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
  7. Altmetric Badge
    Chapter 6 A Uniform Min-Max Theorem with Applications in Cryptography
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    Chapter 7 Limits of Provable Security for Homomorphic Encryption
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    Chapter 8 Counter-Cryptanalysis
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    Chapter 9 Fuming Acid and Cryptanalysis: Handy Tools for Overcoming a Digital Locking and Access Control System
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    Chapter 10 Real Time Cryptanalysis of Bluetooth Encryption with Condition Masking
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    Chapter 11 Structural Evaluation of AES and Chosen-Key Distinguisher of 9-Round AES-128
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    Chapter 12 Bounds in Shallows and in Miseries
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    Chapter 13 Sieve-in-the-Middle: Improved MITM Attacks
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    Chapter 14 Construction of Differential Characteristics in ARX Designs Application to Skein
  16. Altmetric Badge
    Chapter 15 On Fair Exchange, Fair Coins and Fair Sampling
  17. Altmetric Badge
    Chapter 16 Limits on the Power of Cryptographic Cheap Talk
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    Chapter 17 Accuracy-Privacy Tradeoffs for Two-Party Differentially Private Protocols
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    Chapter 18 Secure Computation against Adaptive Auxiliary Information
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    Chapter 19 Leakage-Resilient Symmetric Cryptography under Empirically Verifiable Assumptions
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    Chapter 20 Highly-Scalable Searchable Symmetric Encryption with Support for Boolean Queries
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    Chapter 21 Message-Locked Encryption for Lock-Dependent Messages
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    Chapter 22 The Mix-and-Cut Shuffle: Small-Domain Encryption Secure against N Queries
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    Chapter 23 Key Homomorphic PRFs and Their Applications
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    Chapter 24 On the Security of the TLS Protocol: A Systematic Analysis
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    Chapter 25 New Techniques for SPHFs and Efficient One-Round PAKE Protocols
  27. Altmetric Badge
    Chapter 26 Practical Multilinear Maps over the Integers
  28. Altmetric Badge
    Chapter 27 Full Domain Hash from (Leveled) Multilinear Maps and Identity-Based Aggregate Signatures
  29. Altmetric Badge
    Chapter 28 Programmable Hash Functions in the Multilinear Setting
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    Chapter 29 On the Indifferentiability of Key-Alternating Ciphers
  31. Altmetric Badge
    Chapter 30 Plain versus Randomized Cascading-Based Key-Length Extension for Block Ciphers
  32. Altmetric Badge
    Chapter 31 Digital Signatures with Minimal Overhead from Indifferentiable Random Invertible Functions
Attention for Chapter 5: Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

patent
4 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
306 Mendeley
citeulike
3 CiteULike
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Chapter title
Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
Chapter number 5
Book title
Advances in Cryptology – CRYPTO 2013
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-40041-4_5
Book ISBNs
978-3-64-240040-7, 978-3-64-240041-4
Authors

Craig Gentry, Amit Sahai, Brent Waters, Gentry, Craig, Sahai, Amit, Waters, Brent

Editors

Ran Canetti, Juan A. Garay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 2 <1%
Pakistan 1 <1%
Italy 1 <1%
Japan 1 <1%
Russia 1 <1%
Unknown 297 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 23%
Student > Master 41 13%
Researcher 29 9%
Student > Bachelor 20 7%
Student > Postgraduate 12 4%
Other 47 15%
Unknown 87 28%
Readers by discipline Count As %
Computer Science 149 49%
Engineering 26 8%
Mathematics 14 5%
Physics and Astronomy 8 3%
Social Sciences 5 2%
Other 10 3%
Unknown 94 31%
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 25 October 2022.
All research outputs
#3,677,167
of 23,575,882 outputs
Outputs from Lecture notes in computer science
#761
of 8,153 outputs
Outputs of similar age
#38,111
of 284,677 outputs
Outputs of similar age from Lecture notes in computer science
#32
of 318 outputs
Altmetric has tracked 23,575,882 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 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 89% 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 284,677 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 86% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.