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Information Security and Cryptology - ICISC 2015

Overview of attention for book
Cover of 'Information Security and Cryptology - ICISC 2015'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A General Framework for Redactable Signatures and New Constructions
  3. Altmetric Badge
    Chapter 2 On the Security of the Schnorr Signature Scheme and DSA Against Related-Key Attacks
  4. Altmetric Badge
    Chapter 3 Attribute-Based Two-Tier Signatures: Definition and Construction
  5. Altmetric Badge
    Chapter 4 Ciphertext-Policy Attribute-Based Broadcast Encryption with Small Keys
  6. Altmetric Badge
    Chapter 5 Learning with Errors in the Exponent
  7. Altmetric Badge
    Chapter 6 Higher-Order Cryptanalysis of LowMC
  8. Altmetric Badge
    Chapter 7 Integral Attack Against Bit-Oriented Block Ciphers
  9. Altmetric Badge
    Chapter 8 Single Key Recovery Attacks on 9-Round Kalyna-128/256 and Kalyna-256/512
  10. Altmetric Badge
    Chapter 9 Improved Impossible Differential Attack on Reduced-Round LBlock
  11. Altmetric Badge
    Chapter 10 Point Decomposition Problem in Binary Elliptic Curves
  12. Altmetric Badge
    Chapter 11 Faster ECC over $$\mathbb {F}_{2^{521}-1}$$ F 2 521 - 1 (feat. NEON)
  13. Altmetric Badge
    Chapter 12 On the (In)Efficiency of Non-Interactive Secure Multiparty Computation
  14. Altmetric Badge
    Chapter 13 Apollo: End-to-End Verifiable Voting Protocol Using Mixnet and Hidden Tweaks
  15. Altmetric Badge
    Chapter 14 On Differentially Private Online Collaborative Recommendation Systems
  16. Altmetric Badge
    Chapter 15 Stack Layout Randomization with Minimal Rewriting of Android Binaries
  17. Altmetric Badge
    Chapter 16 Improving Fuzzing Using Software Complexity Metrics
  18. Altmetric Badge
    Chapter 17 Uncloaking Rootkits on Mobile Devices with a Hypervisor-Based Detector
  19. Altmetric Badge
    Chapter 18 Detecting Obfuscated Suspicious JavaScript Based on Information-Theoretic Measures and Novelty Detection
  20. Altmetric Badge
    Chapter 19 Two Lattice-Based Differential Fault Attacks Against ECDSA with w NAF Algorithm
  21. Altmetric Badge
    Chapter 20 Maximum Likelihood-Based Key Recovery Algorithm from Decayed Key Schedules
  22. Altmetric Badge
    Chapter 21 New Efficient Padding Methods Secure Against Padding Oracle Attacks
  23. Altmetric Badge
    Chapter 22 Let Me Prove It to You: RO PUFs Are Provably Learnable
  24. Altmetric Badge
    Chapter 23 Anonymous Authentication Scheme Based on PUF
Attention for Chapter 16: Improving Fuzzing Using Software Complexity Metrics
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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6 X users

Citations

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Readers on

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34 Mendeley
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Chapter title
Improving Fuzzing Using Software Complexity Metrics
Chapter number 16
Book title
Information Security and Cryptology - ICISC 2015
Published in
arXiv, November 2015
DOI 10.1007/978-3-319-30840-1_16
Book ISBNs
978-3-31-930839-5, 978-3-31-930840-1
Authors

Maksim O. Shudrak, Vyacheslav V. Zolotarev, Maksim Shudrak, Vyacheslav Zolotarev, Shudrak, Maksim O., Zolotarev, Vyacheslav V.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 8 24%
Researcher 4 12%
Lecturer 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 25 74%
Social Sciences 2 6%
Physics and Astronomy 1 3%
Engineering 1 3%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 May 2019.
All research outputs
#7,267,147
of 24,002,307 outputs
Outputs from arXiv
#154,537
of 1,011,770 outputs
Outputs of similar age
#109,127
of 394,127 outputs
Outputs of similar age from arXiv
#1,292
of 13,615 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% 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 394,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 13,615 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 90% of its contemporaries.