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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 Stressing Out: Bitcoin “Stress Testing”
  3. Altmetric Badge
    Chapter 2 Why Buy When You Can Rent?
  4. Altmetric Badge
    Chapter 3 Automated Verification of Electrum Wallet
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    Chapter 4 Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions
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    Chapter 5 Proofs of Proofs of Work with Sublinear Complexity
  7. Altmetric Badge
    Chapter 6 Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
  8. Altmetric Badge
    Chapter 7 EthIKS: Using Ethereum to Audit a CONIKS Key Transparency Log
  9. Altmetric Badge
    Chapter 8 On Scaling Decentralized Blockchains
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    Chapter 9 Bitcoin Covenants
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    Chapter 10 Cryptocurrencies Without Proof of Work
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    Chapter 11 Coercion-Resistant Internet Voting with Everlasting Privacy
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    Chapter 12 Selene: Voting with Transparent Verifiability and Coercion-Mitigation
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    Chapter 13 On the Possibility of Non-interactive E-Voting in the Public-Key Setting
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    Chapter 14 Efficiency Comparison of Various Approaches in E-Voting Protocols
  16. Altmetric Badge
    Chapter 15 Remote Electronic Voting Can Be Efficient, Verifiable and Coercion-Resistant
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    Chapter 16 Universal Cast-as-Intended Verifiability
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    Chapter 17 Hiding Access Patterns in Range Queries Using Private Information Retrieval and ORAM
  19. Altmetric Badge
    Chapter 18 Optimizing MPC for Robust and Scalable Integer and Floating-Point Arithmetic
  20. Altmetric Badge
    Chapter 19 On-the-fly Homomorphic Batching/Unbatching
  21. Altmetric Badge
    Chapter 20 Using Intel Software Guard Extensions for Efficient Two-Party Secure Function Evaluation
  22. Altmetric Badge
    Chapter 21 CallForFire: A Mission-Critical Cloud-Based Application Built Using the Nomad Framework
  23. Altmetric Badge
    Chapter 22 Cryptographic Solutions for Genomic Privacy
Attention for Chapter 21: CallForFire: A Mission-Critical Cloud-Based Application Built Using the Nomad Framework
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
12 Mendeley
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Chapter title
CallForFire: A Mission-Critical Cloud-Based Application Built Using the Nomad Framework
Chapter number 21
Book title
Financial Cryptography and Data Security
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-662-53357-4_21
Book ISBNs
978-3-66-253356-7, 978-3-66-253357-4
Authors

Mamadou H. Diallo, Michael August, Roger Hallman, Megan Kline, Henry Au, Vic Beach, Diallo, Mamadou H., August, Michael, Hallman, Roger, Kline, Megan, Au, Henry, Beach, Vic

Editors

Jeremy Clark, Sarah Meiklejohn, Peter Y.A. Ryan, Dan Wallach, Michael Brenner, Kurt Rohloff

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Ph. D. Student 3 25%
Researcher 2 17%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 11 92%
Unknown 1 8%

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 08 October 2019.
All research outputs
#5,610,213
of 17,367,552 outputs
Outputs from Lecture notes in computer science
#2,266
of 7,690 outputs
Outputs of similar age
#138,772
of 397,473 outputs
Outputs of similar age from Lecture notes in computer science
#79
of 175 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 57% 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 397,473 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 60% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.