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Advances in Cryptology - EUROCRYPT 2009

Overview of attention for book
Cover of 'Advances in Cryptology - EUROCRYPT 2009'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Possibility and Impossibility Results for Encryption and Commitment Secure under Selective Opening
  3. Altmetric Badge
    Chapter 2 Breaking RSA Generically Is Equivalent to Factoring
  4. Altmetric Badge
    Chapter 3 Resettably Secure Computation
  5. Altmetric Badge
    Chapter 4 On the Security Loss in Cryptographic Reductions
  6. Altmetric Badge
    Chapter 5 On Randomizing Hash Functions to Strengthen the Security of Digital Signatures
  7. Altmetric Badge
    Chapter 6 Cryptanalysis of MDC-2
  8. Altmetric Badge
    Chapter 7 Cryptanalysis on HMAC/NMAC-MD5 and MD5-MAC
  9. Altmetric Badge
    Chapter 8 Finding Preimages in Full MD5 Faster Than Exhaustive Search
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    Chapter 9 Asymmetric Group Key Agreement
  11. Altmetric Badge
    Chapter 10 Adaptive Security in Broadcast Encryption Systems (with Short Ciphertexts)
  12. Altmetric Badge
    Chapter 11 Traitors Collaborating in Public: Pirates 2.0
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    Chapter 12 Key Agreement from Close Secrets over Unsecured Channels
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    Chapter 13 Order-Preserving Symmetric Encryption
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    Chapter 14 A Double-Piped Mode of Operation for MACs, PRFs and PROs: Security beyond the Birthday Barrier
  16. Altmetric Badge
    Chapter 15 On the Security of Cryptosystems with Quadratic Decryption: The Nicest Cryptanalysis
  17. Altmetric Badge
    Chapter 16 Cube Attacks on Tweakable Black Box Polynomials
  18. Altmetric Badge
    Chapter 17 Smashing SQUASH-0
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    Chapter 18 Practical Chosen Ciphertext Secure Encryption from Factoring
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    Chapter 19 Realizing Hash-and-Sign Signatures under Standard Assumptions
  21. Altmetric Badge
    Chapter 20 A Public Key Encryption Scheme Secure against Key Dependent Chosen Plaintext and Adaptive Chosen Ciphertext Attacks
  22. Altmetric Badge
    Chapter 21 Cryptography without (Hardly Any) Secrets ?
  23. Altmetric Badge
    Chapter 22 Salvaging Merkle-Damgård for Practical Applications
  24. Altmetric Badge
    Chapter 23 On the Security of Padding-Based Encryption Schemes – or – Why We Cannot Prove OAEP Secure in the Standard Model
  25. Altmetric Badge
    Chapter 24 Simulation without the Artificial Abort: Simplified Proof and Improved Concrete Security for Waters’ IBE Scheme
  26. Altmetric Badge
    Chapter 25 On the Portability of Generalized Schnorr Proofs
  27. Altmetric Badge
    Chapter 26 A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
  28. Altmetric Badge
    Chapter 27 A Leakage-Resilient Mode of Operation
  29. Altmetric Badge
    Chapter 28 ECM on Graphics Cards
  30. Altmetric Badge
    Chapter 29 Double-Base Number System for Multi-scalar Multiplications
  31. Altmetric Badge
    Chapter 30 Endomorphisms for Faster Elliptic Curve Cryptography on a Large Class of Curves
  32. Altmetric Badge
    Chapter 31 Generating Genus Two Hyperelliptic Curves over Large Characteristic Finite Fields
  33. Altmetric Badge
    Chapter 32 Verifiable Random Functions from Identity-Based Key Encapsulation
  34. Altmetric Badge
    Chapter 33 Optimal Randomness Extraction from a Diffie-Hellman Element
  35. Altmetric Badge
    Chapter 34 A New Randomness Extraction Paradigm for Hybrid Encryption
  36. Altmetric Badge
    Chapter 35 Erratum to: Advances in Cryptology – EUROCRYPT 2009
Attention for Chapter 8: Finding Preimages in Full MD5 Faster Than Exhaustive Search
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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5 X users
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1 patent
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5 Wikipedia pages
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1 Q&A thread

Citations

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14 Dimensions

Readers on

mendeley
56 Mendeley
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1 CiteULike
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Chapter title
Finding Preimages in Full MD5 Faster Than Exhaustive Search
Chapter number 8
Book title
Advances in Cryptology - EUROCRYPT 2009
Published in
Lecture notes in computer science, April 2009
DOI 10.1007/978-3-642-01001-9_8
Book ISBNs
978-3-64-201000-2, 978-3-64-201001-9
Authors

Yu Sasaki, Kazumaro Aoki, Sasaki, Yu, Aoki, Kazumaro

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 25%
Student > Ph. D. Student 11 20%
Researcher 7 13%
Student > Bachelor 3 5%
Other 3 5%
Other 11 20%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 35 63%
Engineering 5 9%
Mathematics 3 5%
Physics and Astronomy 2 4%
Linguistics 1 2%
Other 1 2%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 February 2023.
All research outputs
#2,773,143
of 25,307,332 outputs
Outputs from Lecture notes in computer science
#530
of 8,156 outputs
Outputs of similar age
#8,720
of 101,466 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 25 outputs
Altmetric has tracked 25,307,332 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 8,156 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 93% 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 101,466 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 91% of its contemporaries.
We're also able to compare this research output to 25 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 96% of its contemporaries.