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Computer Security – ESORICS 2016

Overview of attention for book
Cover of 'Computer Security – ESORICS 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Understanding Cross-Channel Abuse with SMS-Spam Support Infrastructure Attribution
  3. Altmetric Badge
    Chapter 2 Toward an Efficient Website Fingerprinting Defense
  4. Altmetric Badge
    Chapter 3 Proactive Verification of Security Compliance for Clouds Through Pre-computation: Application to OpenStack
  5. Altmetric Badge
    Chapter 4 Comparing Password Ranking Algorithms on Real-World Password Datasets
  6. Altmetric Badge
    Chapter 5 Scalable Two-Factor Authentication Using Historical Data
  7. Altmetric Badge
    Chapter 6 On the Implications of Zipf’s Law in Passwords
  8. Altmetric Badge
    Chapter 7 PPOPM: More Efficient Privacy Preserving Outsourced Pattern Matching
  9. Altmetric Badge
    Chapter 8 An Efficient Non-interactive Multi-client Searchable Encryption with Support for Boolean Queries
  10. Altmetric Badge
    Chapter 9 Efficient Encrypted Keyword Search for Multi-user Data Sharing
  11. Altmetric Badge
    Chapter 10 Membrane: A Posteriori Detection of Malicious Code Loading by Memory Paging Analysis
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    Chapter 11 Mobile Application Impersonation Detection Using Dynamic User Interface Extraction
  13. Altmetric Badge
    Chapter 12 A Machine Learning Approach for Detecting Third-Party Trackers on the Web
  14. Altmetric Badge
    Chapter 13 Privately Outsourcing Exponentiation to a Single Server: Cryptanalysis and Optimal Constructions
  15. Altmetric Badge
    Chapter 14 Attribute-Based Signatures for Supporting Anonymous Certification
  16. Altmetric Badge
    Chapter 15 Privacy Preserving Computation in Cloud Using Noise-Free Fully Homomorphic Encryption (FHE) Schemes
  17. Altmetric Badge
    Chapter 16 Lightweight Delegatable Proofs of Storage
  18. Altmetric Badge
    Chapter 17 Anonymous RAM
  19. Altmetric Badge
    Chapter 18 Efficient Sanitizable Signatures Without Random Oracles
  20. Altmetric Badge
    Chapter 19 Intentio Ex Machina: Android Intent Access Control via an Extensible Application Hook
  21. Altmetric Badge
    Chapter 20 Hey, You, Get Off of My Image: Detecting Data Residue in Android Images
  22. Altmetric Badge
    Chapter 21 NaClDroid: Native Code Isolation for Android Applications
  23. Altmetric Badge
    Chapter 22 AsyncShock: Exploiting Synchronisation Bugs in Intel SGX Enclaves
  24. Altmetric Badge
    Chapter 23 Stay in Your Cage! A Sound Sandbox for Third-Party Libraries on Android
  25. Altmetric Badge
    Chapter 24 Android Permission Recommendation Using Transitive Bayesian Inference Model
  26. Altmetric Badge
    Chapter 25 Spot the Difference: Secure Multi-execution and Multiple Facets
  27. Altmetric Badge
    Chapter 26 On Reductions from Multi-Domain Noninterference to the Two-Level Case
  28. Altmetric Badge
    Chapter 27 Flexible Manipulation of Labeled Values for Information-Flow Control Libraries
  29. Altmetric Badge
    Chapter 28 Let’s Face It: Faceted Values for Taint Tracking
  30. Altmetric Badge
    Chapter 29 IFuzzer: An Evolutionary Interpreter Fuzzer Using Genetic Programming
  31. Altmetric Badge
    Chapter 30 Automated Multi-architectural Discovery of CFI-Resistant Code Gadgets
Attention for Chapter 26: On Reductions from Multi-Domain Noninterference to the Two-Level Case
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Citations

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Chapter title
On Reductions from Multi-Domain Noninterference to the Two-Level Case
Chapter number 26
Book title
Computer Security – ESORICS 2016
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-45744-4_26
Book ISBNs
978-3-31-945743-7, 978-3-31-945744-4
Authors

Oliver Woizekowski, Ron van der Meyden

Editors

Ioannis Askoxylakis, Sotiris Ioannidis, Sokratis Katsikas, Catherine Meadows

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 3 17%
Student > Master 2 11%
Student > Bachelor 1 6%
Other 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 13 72%
Physics and Astronomy 1 6%
Engineering 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 September 2016.
All research outputs
#13,404,804
of 22,890,496 outputs
Outputs from Lecture notes in computer science
#3,983
of 8,127 outputs
Outputs of similar age
#167,614
of 321,166 outputs
Outputs of similar age from Lecture notes in computer science
#230
of 504 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 50% 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 321,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 504 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.