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Financial Cryptography and Data Security

Overview of attention for book
Cover of 'Financial Cryptography and Data Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Mitigating Inadvertent Insider Threats with Incentives
  3. Altmetric Badge
    Chapter 2 Deterring Online Advertising Fraud through Optimal Payment in Arrears
  4. Altmetric Badge
    Chapter 3 Privacy-Preserving Information Markets for Computing Statistical Data
  5. Altmetric Badge
    Chapter 4 Achieving Privacy in a Federated Identity Management System
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    Chapter 5 Data Hemorrhages in the Health-Care Sector
  7. Altmetric Badge
    Chapter 6 Solving Linear Programs Using Multiparty Computation
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    Chapter 7 Private Intersection of Certified Sets
  9. Altmetric Badge
    Chapter 8 Privacy-Preserving Classifier Learning
  10. Altmetric Badge
    Chapter 9 Investments and Trade-offs in the Economics of Information Security
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    Chapter 10 Blue versus Red: Towards a Model of Distributed Security Attacks
  12. Altmetric Badge
    Chapter 11 Optimised to Fail: Card Readers for Online Banking
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    Chapter 12 Expecting the Unexpected: Towards Robust Credential Infrastructure
  14. Altmetric Badge
    Chapter 13 Optical DNA
  15. Altmetric Badge
    Chapter 14 Passwords: If We’re So Smart, Why Are We Still Using Them?
  16. Altmetric Badge
    Chapter 15 Defeating Cross-Site Request Forgery Attacks with Browser-Enforced Authenticity Protection
  17. Altmetric Badge
    Chapter 16 Evil Searching: Compromise and Recompromise of Internet Hosts for Phishing
  18. Altmetric Badge
    Chapter 17 Detecting Denial of Service Attacks in Tor
  19. Altmetric Badge
    Chapter 18 Cryptographic Combinatorial Securities Exchanges
  20. Altmetric Badge
    Chapter 19 Cryptographic Combinatorial Clock-Proxy Auctions
  21. Altmetric Badge
    Chapter 20 Secure Multiparty Computation Goes Live
  22. Altmetric Badge
    Chapter 21 Coercion Resistant End-to-end Voting
  23. Altmetric Badge
    Chapter 22 Relations Among Privacy Notions
Overall attention for this book and its chapters
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Financial Cryptography and Data Security
Published by
ADS, July 2009
DOI 10.1007/978-3-642-03549-4
ISBNs
978-3-64-203548-7, 978-3-64-203549-4
Editors

Dingledine, Roger, Golle, Philippe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 03 March 2023.
All research outputs
#1,349,962
of 24,140,950 outputs
Outputs from ADS
#621
of 39,393 outputs
Outputs of similar age
#3,999
of 114,525 outputs
Outputs of similar age from ADS
#6
of 382 outputs
Altmetric has tracked 24,140,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39,393 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% 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 114,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 382 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 98% of its contemporaries.