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Computer Security – ESORICS 2019

Overview of attention for book
Cover of 'Computer Security – ESORICS 2019'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Privacy-Enhanced Machine Learning with Functional Encryption
  3. Altmetric Badge
    Chapter 2 Towards Secure and Efficient Outsourcing of Machine Learning Classification
  4. Altmetric Badge
    Chapter 3 Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data
  5. Altmetric Badge
    Chapter 4 BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks
  6. Altmetric Badge
    Chapter 5 The Leakage-Resilience Dilemma
  7. Altmetric Badge
    Chapter 6 A Taxonomy of Attacks Using BGP Blackholing
  8. Altmetric Badge
    Chapter 7 Local Obfuscation Mechanisms for Hiding Probability Distributions
  9. Altmetric Badge
    Chapter 8 A First Look into Privacy Leakage in 3D Mixed Reality Data
  10. Altmetric Badge
    Chapter 9 Flexible Signatures: Making Authentication Suitable for Real-Time Environments
  11. Altmetric Badge
    Chapter 10 DGM: A D ynamic and Revocable G roup M erkle Signature
  12. Altmetric Badge
    Chapter 11 Puncturable Proxy Re-Encryption Supporting to Group Messaging Service
  13. Altmetric Badge
    Chapter 12 Generic Traceable Proxy Re-encryption and Accountable Extension in Consensus Network
  14. Altmetric Badge
    Chapter 13 Side-Channel Aware Fuzzing
  15. Altmetric Badge
    Chapter 14 NetSpectre: Read Arbitrary Memory over Network
  16. Altmetric Badge
    Chapter 15 maskVerif: Automated Verification of Higher-Order Masking in Presence of Physical Defaults
  17. Altmetric Badge
    Chapter 16 Automated Formal Analysis of Side-Channel Attacks on Probabilistic Systems
  18. Altmetric Badge
    Chapter 17 A Formal Model for Checking Cryptographic API Usage in JavaScript
  19. Altmetric Badge
    Chapter 18 Contingent Payments on a Public Ledger: Models and Reductions for Automated Verification
  20. Altmetric Badge
    Chapter 19 Symbolic Analysis of Terrorist Fraud Resistance
  21. Altmetric Badge
    Chapter 20 Secure Communication Channel Establishment: TLS 1.3 (over TCP Fast Open) vs. QUIC
  22. Altmetric Badge
    Chapter 21 Where to Look for What You See Is What You Sign ? User Confusion in Transaction Security
  23. Altmetric Badge
    Chapter 22 On the Security and Applicability of Fragile Camera Fingerprints
  24. Altmetric Badge
    Chapter 23 Attacking Speaker Recognition Systems with Phoneme Morphing
  25. Altmetric Badge
    Chapter 24 Practical Bayesian Poisoning Attacks on Challenge-Based Collaborative Intrusion Detection Networks
  26. Altmetric Badge
    Chapter 25 A Framework for Evaluating Security in the Presence of Signal Injection Attacks
  27. Altmetric Badge
    Chapter 26 Formalizing and Proving Privacy Properties of Voting Protocols Using Alpha-Beta Privacy
  28. Altmetric Badge
    Chapter 27 ProCSA : Protecting Privacy in Crowdsourced Spectrum Allocation
  29. Altmetric Badge
    Chapter 28 Breaking Unlinkability of the ICAO 9303 Standard for e-Passports Using Bisimilarity
  30. Altmetric Badge
    Chapter 29 Symmetric-Key Corruption Detection: When XOR-MACs Meet Combinatorial Group Testing
  31. Altmetric Badge
    Chapter 30 Finding Flaws from Password Authentication Code in Android Apps
  32. Altmetric Badge
    Chapter 31 Identifying Privilege Separation Vulnerabilities in IoT Firmware with Symbolic Execution
  33. Altmetric Badge
    Chapter 32 iCAT : An Interactive Customizable Anonymization Tool
  34. Altmetric Badge
    Chapter 33 Monitoring the GDPR
  35. Altmetric Badge
    Chapter 34 Incentives for Harvesting Attack in Proof of Work Mining Pools
  36. Altmetric Badge
    Chapter 35 A Lattice-Based Linkable Ring Signature Supporting Stealth Addresses
  37. Altmetric Badge
    Chapter 36 Annotary: A Concolic Execution System for Developing Secure Smart Contracts
  38. Altmetric Badge
    Chapter 37 PDFS: Practical Data Feed Service for Smart Contracts
  39. Altmetric Badge
    Chapter 38 Towards a Marketplace for Secure Outsourced Computations
Attention for Chapter 13: Side-Channel Aware Fuzzing
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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Chapter title
Side-Channel Aware Fuzzing
Chapter number 13
Book title
Computer Security – ESORICS 2019
Published in
arXiv, August 2019
DOI 10.1007/978-3-030-29959-0_13
Book ISBNs
978-3-03-029958-3, 978-3-03-029959-0
Authors

Philip Sperl, Konstantin Böttinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 6 24%
Student > Master 3 12%
Professor 1 4%
Other 1 4%
Other 2 8%
Unknown 5 20%
Readers by discipline Count As %
Computer Science 15 60%
Engineering 2 8%
Physics and Astronomy 1 4%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 September 2019.
All research outputs
#3,422,087
of 25,844,815 outputs
Outputs from arXiv
#57,072
of 949,498 outputs
Outputs of similar age
#65,777
of 354,939 outputs
Outputs of similar age from arXiv
#1,428
of 20,357 outputs
Altmetric has tracked 25,844,815 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949,498 research outputs from this source. They receive a mean Attention Score of 4.3. 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 354,939 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 81% of its contemporaries.
We're also able to compare this research output to 20,357 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 92% of its contemporaries.