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Data and Applications Security and Privacy XXXIII

Overview of attention for book
Cover of 'Data and Applications Security and Privacy XXXIII'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting Adversarial Attacks in the Context of Bayesian Networks
  3. Altmetric Badge
    Chapter 2 AGBuilder: An AI Tool for Automated Attack Graph Building, Analysis, and Refinement
  4. Altmetric Badge
    Chapter 3 On Practical Aspects of PCFG Password Cracking
  5. Altmetric Badge
    Chapter 4 That’s My DNA: Detecting Malicious Tampering of Synthesized DNA
  6. Altmetric Badge
    Chapter 5 Adversarial Sampling Attacks Against Phishing Detection
  7. Altmetric Badge
    Chapter 6 Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping
  8. Altmetric Badge
    Chapter 7 Droids in Disarray: Detecting Frame Confusion in Hybrid Android Apps
  9. Altmetric Badge
    Chapter 8 Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks
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    Chapter 9 “When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy
  11. Altmetric Badge
    Chapter 10 Analysis of Privacy Policies to Enhance Informed Consent
  12. Altmetric Badge
    Chapter 11 Lost in TLS? No More! Assisted Deployment of Secure TLS Configurations
  13. Altmetric Badge
    Chapter 12 Contributing to Current Challenges in Identity and Access Management with Visual Analytics
  14. Altmetric Badge
    Chapter 13 Analysis of Multi-path Onion Routing-Based Anonymization Networks
  15. Altmetric Badge
    Chapter 14 Shoal: Query Optimization and Operator Placement for Access Controlled Stream Processing Systems
  16. Altmetric Badge
    Chapter 15 A Distributed Ledger Approach to Digital Twin Secure Data Sharing
  17. Altmetric Badge
    Chapter 16 Refresh Instead of Revoke Enhances Safety and Availability: A Formal Analysis
  18. Altmetric Badge
    Chapter 17 Wrangling in the Power of Code Pointers with ProxyCFI
  19. Altmetric Badge
    Chapter 18 CASFinder: Detecting Common Attack Surface
  20. Altmetric Badge
    Chapter 19 Algorithm Diversity for Resilient Systems
  21. Altmetric Badge
    Chapter 20 Online Malware Detection in Cloud Auto-scaling Systems Using Shallow Convolutional Neural Networks
  22. Altmetric Badge
    Chapter 21 Redirecting Malware’s Target Selection with Decoy Processes
Attention for Chapter 9: “When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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23 Mendeley
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Chapter title
“When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy
Chapter number 9
Book title
Data and Applications Security and Privacy XXXIII
Published in
arXiv, July 2019
DOI 10.1007/978-3-030-22479-0_9
Book ISBNs
978-3-03-022478-3, 978-3-03-022479-0
Authors

Maho Asada, Masatoshi Yoshikawa, Yang Cao, Asada, Maho, Yoshikawa, Masatoshi, Cao, Yang

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 4 17%
Student > Doctoral Student 3 13%
Student > Bachelor 1 4%
Other 1 4%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 14 61%
Engineering 2 9%
Social Sciences 1 4%
Arts and Humanities 1 4%
Unknown 5 22%
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 25 April 2019.
All research outputs
#13,507,601
of 23,509,982 outputs
Outputs from arXiv
#213,432
of 972,279 outputs
Outputs of similar age
#165,972
of 347,291 outputs
Outputs of similar age from arXiv
#6,988
of 28,357 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972,279 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% 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 347,291 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 51% of its contemporaries.
We're also able to compare this research output to 28,357 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.