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Data Privacy Management, Cryptocurrencies and Blockchain Technology

Overview of attention for book
Cover of 'Data Privacy Management, Cryptocurrencies and Blockchain Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Proof Calculus for Attack Trees in Isabelle
  3. Altmetric Badge
    Chapter 2 Confidentiality of Interactions in Concurrent Object-Oriented Systems
  4. Altmetric Badge
    Chapter 3 Using Oblivious RAM in Genomic Studies
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    Chapter 4 Towards Efficient and Secure Encrypted Databases: Extending Message-Locked Encryption in Three-Party Model
  6. Altmetric Badge
    Chapter 5 Searchable Encrypted Relational Databases: Risks and Countermeasures
  7. Altmetric Badge
    Chapter 6 Private Verification of Access on Medical Data: An Initial Study
  8. Altmetric Badge
    Chapter 7 Default Privacy Setting Prediction by Grouping User’s Attributes and Settings Preferences
  9. Altmetric Badge
    Chapter 8 $$\delta $$ -privacy: Bounding Privacy Leaks in Privacy Preserving Data Mining
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    Chapter 9 Threshold Single Password Authentication
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    Chapter 10 Towards a Toolkit for Utility and Privacy-Preserving Transformation of Semi-structured Data Using Data Pseudonymization
  12. Altmetric Badge
    Chapter 11 Privacy Dashcam – Towards Lawful Use of Dashcams Through Enforcement of External Anonymization
  13. Altmetric Badge
    Chapter 12 DLoc: Distributed Auditing for Data Location Compliance in Cloud
  14. Altmetric Badge
    Chapter 13 Inonymous: Anonymous Invitation-Based System
  15. Altmetric Badge
    Chapter 14 $$\mathcal {PCS}$$ , A Privacy-Preserving Certification Scheme
  16. Altmetric Badge
    Chapter 15 Order-Preserving Encryption Using Approximate Integer Common Divisors
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    Chapter 16 Privacy-Preserving Deterministic Automata Evaluation with Encrypted Data Blocks
  18. Altmetric Badge
    Chapter 17 Securing Proof-of-Stake Blockchain Protocols
  19. Altmetric Badge
    Chapter 18 Merged Mining: Curse or Cure?
  20. Altmetric Badge
    Chapter 19 Atomically Trading with Roger: Gambling on the Success of a Hardfork
  21. Altmetric Badge
    Chapter 20 In Code We Trust?
  22. Altmetric Badge
    Chapter 21 Who Am I? Secure Identity Registration on Distributed Ledgers
  23. Altmetric Badge
    Chapter 22 A User-Centric System for Verified Identities on the Bitcoin Blockchain
  24. Altmetric Badge
    Chapter 23 Towards a Concurrent and Distributed Route Selection for Payment Channel Networks
  25. Altmetric Badge
    Chapter 24 Graphene: A New Protocol for Block Propagation Using Set Reconciliation
  26. Altmetric Badge
    Chapter 25 Short Paper: Revisiting Difficulty Control for Blockchain Systems
  27. Altmetric Badge
    Chapter 26 Secure Event Tickets on a Blockchain
Attention for Chapter 17: Securing Proof-of-Stake Blockchain Protocols
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
2 X users
patent
1 patent
wikipedia
1 Wikipedia page

Citations

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10 Dimensions

Readers on

mendeley
159 Mendeley
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Chapter title
Securing Proof-of-Stake Blockchain Protocols
Chapter number 17
Book title
Data Privacy Management, Cryptocurrencies and Blockchain Technology
Published in
Lecture notes in computer science, September 2017
DOI 10.1007/978-3-319-67816-0_17
Book ISBNs
978-3-31-967815-3, 978-3-31-967816-0
Authors

Wenting Li, Sébastien Andreina, Jens-Matthias Bohli, Ghassan Karame, Li, Wenting, Andreina, Sébastien, Bohli, Jens-Matthias, Karame, Ghassan

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

Geographical breakdown

Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 21%
Student > Ph. D. Student 21 13%
Student > Bachelor 20 13%
Researcher 10 6%
Lecturer 9 6%
Other 16 10%
Unknown 50 31%
Readers by discipline Count As %
Computer Science 61 38%
Engineering 11 7%
Business, Management and Accounting 7 4%
Economics, Econometrics and Finance 5 3%
Agricultural and Biological Sciences 2 1%
Other 15 9%
Unknown 58 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 June 2021.
All research outputs
#4,063,811
of 23,003,906 outputs
Outputs from Lecture notes in computer science
#947
of 8,146 outputs
Outputs of similar age
#72,065
of 316,076 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 34 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,146 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 316,076 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 77% of its contemporaries.
We're also able to compare this research output to 34 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 94% of its contemporaries.