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Computer Security – ESORICS 2020

Overview of attention for book
Cover of 'Computer Security – ESORICS 2020'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Pine: Enabling Privacy-Preserving Deep Packet Inspection on TLS with Rule-Hiding and Fast Connection Establishment
  3. Altmetric Badge
    Chapter 2 Bulwark: Holistic and Verified Security Monitoring of Web Protocols
  4. Altmetric Badge
    Chapter 3 A Practical Model for Collaborative Databases: Securely Mixing, Searching and Computing
  5. Altmetric Badge
    Chapter 4 Deduplication-Friendly Watermarking for Multimedia Data in Public Clouds
  6. Altmetric Badge
    Chapter 5 DANTE: A Framework for Mining and Monitoring Darknet Traffic
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    Chapter 6 Efficient Quantification of Profile Matching Risk in Social Networks Using Belief Propagation
  8. Altmetric Badge
    Chapter 7 Anonymity Preserving Byzantine Vector Consensus
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    Chapter 8 CANSentry : Securing CAN-Based Cyber-Physical Systems against Denial and Spoofing Attacks
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    Chapter 9 Distributed Detection of APTs: Consensus vs. Clustering
  11. Altmetric Badge
    Chapter 10 Designing Reverse Firewalls for the Real World
  12. Altmetric Badge
    Chapter 11 Follow the Blue Bird: A Study on Threat Data Published on Twitter
  13. Altmetric Badge
    Chapter 12 Dynamic and Secure Memory Transformation in Userspace
  14. Altmetric Badge
    Chapter 13 Understanding the Security Risks of Docker Hub
  15. Altmetric Badge
    Chapter 14 DE-auth of the Blue! Transparent De-authentication Using Bluetooth Low Energy Beacon
  16. Altmetric Badge
    Chapter 15 Similarity of Binaries Across Optimization Levels and Obfuscation
  17. Altmetric Badge
    Chapter 16 HART: Hardware-Assisted Kernel Module Tracing on Arm
  18. Altmetric Badge
    Chapter 17 Zipper Stack: Shadow Stacks Without Shadow
  19. Altmetric Badge
    Chapter 18 Restructured Cloning Vulnerability Detection Based on Function Semantic Reserving and Reiteration Screening
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    Chapter 19 LegIoT: Ledgered Trust Management Platform for IoT
  21. Altmetric Badge
    Chapter 20 PrivColl: Practical Privacy-Preserving Collaborative Machine Learning
  22. Altmetric Badge
    Chapter 21 An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference
  23. Altmetric Badge
    Chapter 22 Deep Learning Side-Channel Analysis on Large-Scale Traces
  24. Altmetric Badge
    Chapter 23 Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems
  25. Altmetric Badge
    Chapter 24 Data Poisoning Attacks Against Federated Learning Systems
  26. Altmetric Badge
    Chapter 25 Interpretable Probabilistic Password Strength Meters via Deep Learning
  27. Altmetric Badge
    Chapter 26 Polisma - A Framework for Learning Attribute-Based Access Control Policies
  28. Altmetric Badge
    Chapter 27 A Framework for Evaluating Client Privacy Leakages in Federated Learning
  29. Altmetric Badge
    Chapter 28 An Accountable Access Control Scheme for Hierarchical Content in Named Data Networks with Revocation
  30. Altmetric Badge
    Chapter 29 PGC: Decentralized Confidential Payment System with Auditability
  31. Altmetric Badge
    Chapter 30 Secure Cloud Auditing with Efficient Ownership Transfer
  32. Altmetric Badge
    Chapter 31 Encrypt-to-Self: Securely Outsourcing Storage
  33. Altmetric Badge
    Chapter 32 PGLP: Customizable and Rigorous Location Privacy Through Policy Graph
  34. Altmetric Badge
    Chapter 33 Where Are You Bob? Privacy-Preserving Proximity Testing with a Napping Party
  35. Altmetric Badge
    Chapter 34 Distributed PCFG Password Cracking
  36. Altmetric Badge
    Chapter 35 Your PIN Sounds Good! Augmentation of PIN Guessing Strategies via Audio Leakage
  37. Altmetric Badge
    Chapter 36 GDPR – Challenges for Reconciling Legal Rules with Technical Reality
Attention for Chapter 2: Bulwark: Holistic and Verified Security Monitoring of Web Protocols
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Mentioned by

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1 X user

Readers on

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10 Mendeley
Summary X
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Chapter title
Bulwark: Holistic and Verified Security Monitoring of Web Protocols
Chapter number 2
Book title
Computer Security – ESORICS 2020
Published in
arXiv, September 2020
DOI 10.1007/978-3-030-58951-6_2
Book ISBNs
978-3-03-058950-9, 978-3-03-058951-6
Authors

Lorenzo Veronese, Stefano Calzavara, Luca Compagna, Veronese, Lorenzo, Calzavara, Stefano, Compagna, Luca

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 7 70%
Physics and Astronomy 1 10%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 January 2021.
All research outputs
#20,642,821
of 23,237,082 outputs
Outputs from arXiv
#683,876
of 957,911 outputs
Outputs of similar age
#344,731
of 402,794 outputs
Outputs of similar age from arXiv
#22,832
of 33,324 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 957,911 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 402,794 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,324 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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