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Information Security and Cryptology – ICISC 2018

Overview of attention for book
Cover of 'Information Security and Cryptology – ICISC 2018'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 New Assumptions on Isogenous Pairing Groups with Applications to Attribute-Based Encryption
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    Chapter 2 Mitigating the One-Use Restriction in Attribute-Based Encryption
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    Chapter 3 Attacking Noisy Secret CRT-RSA Exponents in Binary Method
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    Chapter 4 Compact Implementation of Modular Multiplication for Special Modulus on MSP430X
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    Chapter 5 Multi-identity IBFHE and Multi-attribute ABFHE in the Standard Model
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    Chapter 6 Approximate Homomorphic Encryption over the Conjugate-Invariant Ring
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    Chapter 7 Excalibur Key-Generation Protocols for DAG Hierarchic Decryption
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    Chapter 8 The Six-Card Trick: Secure Computation of Three-Input Equality
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    Chapter 9 Unconditionally Secure Distributed Oblivious Polynomial Evaluation
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    Chapter 10 An Efficient Private Evaluation of a Decision Graph
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    Chapter 11 Key Reuse Attack on NewHope Key Exchange Protocol
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    Chapter 12 Supersingular Isogeny Diffie–Hellman Authenticated Key Exchange
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    Chapter 13 On the Complexity of the LWR-Solving BKW Algorithm
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    Chapter 14 A Hierarchical Secret Sharing Scheme Based on Information Dispersal Techniques
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    Chapter 15 Cheating-Immune Secret Sharing Schemes from Maiorana-McFarland Boolean Functions
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    Chapter 16 A New Privacy-Preserving Searching Model on Blockchain
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    Chapter 17 $$\mathsf {ELSA}$$ : Efficient Long-Term Secure Storage of Large Datasets
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    Chapter 18 How to Block the Malicious Access to Android External Storage
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    Chapter 19 A Novel Tamper Evident Single Database Information-Theoretic Private Information Retrieval for User Privacy Applications
  21. Altmetric Badge
    Chapter 20 Practical Algebraic Side-Channel Attacks Against ACORN
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    Chapter 21 A Closer Look at the Guo–Johansson–Stankovski Attack Against QC-MDPC Codes
  23. Altmetric Badge
    Chapter 22 Recurrent Neural Networks for Fuzz Testing Web Browsers
Attention for Chapter 22: Recurrent Neural Networks for Fuzz Testing Web Browsers
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
5 X users
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1 patent

Readers on

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26 Mendeley
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Chapter title
Recurrent Neural Networks for Fuzz Testing Web Browsers
Chapter number 22
Book title
Information Security and Cryptology – ICISC 2018
Published in
arXiv, November 2018
DOI 10.1007/978-3-030-12146-4_22
Book ISBNs
978-3-03-012145-7, 978-3-03-012146-4
Authors

Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson, Sablotny, Martin, Jensen, Bjørn Sand, Johnson, Chris W.

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 5 19%
Researcher 4 15%
Student > Bachelor 1 4%
Other 1 4%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Computer Science 17 65%
Nursing and Health Professions 1 4%
Physics and Astronomy 1 4%
Engineering 1 4%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 September 2020.
All research outputs
#6,092,827
of 24,099,692 outputs
Outputs from arXiv
#123,034
of 1,020,419 outputs
Outputs of similar age
#118,452
of 445,417 outputs
Outputs of similar age from arXiv
#3,456
of 26,429 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 445,417 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 73% of its contemporaries.
We're also able to compare this research output to 26,429 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.