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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 Succinctly Verifiable Sealed-Bid Auction Smart Contract
  3. Altmetric Badge
    Chapter 2 Blockchain-Based Fair Certified Notifications
  4. Altmetric Badge
    Chapter 3 On Symbolic Verification of Bitcoin’s script Language
  5. Altmetric Badge
    Chapter 4 Self-reproducing Coins as Universal Turing Machine
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    Chapter 5 Split Payments in Payment Networks
  7. Altmetric Badge
    Chapter 6 Payment Network Design with Fees
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    Chapter 7 Atomic Information Disclosure of Off-Chained Computations Using Threshold Encryption
  9. Altmetric Badge
    Chapter 8 Contour: A Practical System for Binary Transparency
  10. Altmetric Badge
    Chapter 9 What Blockchain Alternative Do You Need?
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    Chapter 10 Valuable Puzzles for Proofs-of-Work
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    Chapter 11 A Poisoning Attack Against Cryptocurrency Mining Pools
  13. Altmetric Badge
    Chapter 12 Using Economic Risk to Model Miner Hash Rate Allocation in Cryptocurrencies
  14. Altmetric Badge
    Chapter 13 Avoiding Deadlocks in Payment Channel Networks
  15. Altmetric Badge
    Chapter 14 Coloured Ring Confidential Transactions
  16. Altmetric Badge
    Chapter 15 Pitchforks in Cryptocurrencies:
  17. Altmetric Badge
    Chapter 16 Towards an Effective Privacy Impact and Risk Assessment Methodology: Risk Analysis
  18. Altmetric Badge
    Chapter 17 Privacy Risk Assessment: From Art to Science, by Metrics
  19. Altmetric Badge
    Chapter 18 Bootstrapping Online Trust: Timeline Activity Proofs
  20. Altmetric Badge
    Chapter 19 Post-processing Methods for High Quality Privacy-Preserving Record Linkage
  21. Altmetric Badge
    Chapter 20 $$\delta $$-DOCA: Achieving Privacy in Data Streams
  22. Altmetric Badge
    Chapter 21 Data Oblivious Genome Variants Search on Intel SGX
  23. Altmetric Badge
    Chapter 22 Developing GDPR Compliant Apps for the Edge
  24. Altmetric Badge
    Chapter 23 YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios
  25. Altmetric Badge
    Chapter 24 PrivacyGuard: Enforcing Private Data Usage with Blockchain and Attested Execution
  26. Altmetric Badge
    Chapter 25 A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation
  27. Altmetric Badge
    Chapter 26 Privacy-Preserving Trade Chain Detection
  28. Altmetric Badge
    Chapter 27 FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning
  29. Altmetric Badge
    Chapter 28 A General Algorithm for k-anonymity on Dynamic Databases
  30. Altmetric Badge
    Chapter 29 On Security of Anonymous Invitation-Based System
  31. Altmetric Badge
    Chapter 30 Probabilistic Metric Spaces for Privacy by Design Machine Learning Algorithms: Modeling Database Changes
  32. Altmetric Badge
    Chapter 31 Lifelogging Protection Scheme for Internet-Based Personal Assistants
Attention for Chapter 23: YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users

Citations

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10 Dimensions

Readers on

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24 Mendeley
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Chapter title
YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios
Chapter number 23
Book title
Data Privacy Management, Cryptocurrencies and Blockchain Technology
Published in
Lecture notes in computer science, September 2018
DOI 10.1007/978-3-030-00305-0_23
Book ISBNs
978-3-03-000304-3, 978-3-03-000305-0
Authors

Max-R. Ulbricht, Frank Pallas, Ulbricht, Max-R., Pallas, Frank

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 4 17%
Student > Bachelor 3 13%
Other 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 7 29%
Readers by discipline Count As %
Computer Science 13 54%
Social Sciences 2 8%
Engineering 2 8%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 September 2018.
All research outputs
#13,936,085
of 23,102,082 outputs
Outputs from Lecture notes in computer science
#4,149
of 8,148 outputs
Outputs of similar age
#177,964
of 336,158 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 12 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,148 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% 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 336,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.