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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 Financial Cryptography and Data Security
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    Chapter 2 The MVP Web-Based Authentication Framework
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    Chapter 3 Financial Cryptography and Data Security
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    Chapter 4 The Postmodern Ponzi Scheme: Empirical Analysis of High-Yield Investment Programs
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    Chapter 5 Deploying Secure Multi-Party Computation for Financial Data Analysis
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    Chapter 6 Cryptographic Rule-Based Trading
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    Chapter 7 Efficient Private Proximity Testing with GSM Location Sketches
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    Chapter 8 Metrics for Measuring ISP Badness: The Case of Spam
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    Chapter 9 Congestion-Aware Path Selection for Tor
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    Chapter 10 Attacking the Washington, D.C. Internet Voting System
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    Chapter 11 Security Audits Revisited
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    Chapter 12 Efficient, Compromise Resilient and Append-Only Cryptographic Schemes for Secure Audit Logging
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    Chapter 13 On Secure Two-Party Integer Division
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    Chapter 14 A Non-interactive Range Proof with Constant Communication
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    Chapter 15 Privacy-Preserving Stream Aggregation with Fault Tolerance
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    Chapter 16 Dynamic Accumulator Based Discretionary Access Control for Outsourced Storage with Unlinkable Access
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    Chapter 17 Privacy Enhanced Access Control for Outsourced Data Sharing
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    Chapter 18 Designing Privacy-Preserving Smart Meters with Low-Cost Microcontrollers
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    Chapter 19 Memory-Efficient Garbled Circuit Generation for Mobile Devices
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    Chapter 20 Oblivious Decision Programs from Oblivious Transfer: Efficient Reductions
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    Chapter 21 UC-Secure Searchable Symmetric Encryption
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    Chapter 22 CTL: A Platform-Independent Crypto Tools Library Based on Dataflow Programming Paradigm
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    Chapter 23 A Cache Timing Attack on AES in Virtualization Environments
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    Chapter 24 Softer Smartcards
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    Chapter 25 The PACE|AA Protocol for Machine Readable Travel Documents, and Its Security
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    Chapter 26 Oblivious Printing of Secret Messages in a Multi-party Setting
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    Chapter 27 Reverse Fuzzy Extractors: Enabling Lightweight Mutual Authentication for PUF-Enabled RFIDs
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    Chapter 28 CommitCoin: Carbon Dating Commitments with Bitcoin
  30. Altmetric Badge
    Chapter 29 Bitter to Better — How to Make Bitcoin a Better Currency
Attention for Chapter 3: Financial Cryptography and Data Security
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
89 Mendeley
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Chapter title
Financial Cryptography and Data Security
Chapter number 3
Book title
Financial Cryptography and Data Security
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-32946-3_3
Book ISBNs
978-3-64-232945-6, 978-3-64-232946-3
Authors

Angelos D. Keromytis, Joseph Bonneau, Sören Preibusch, Ross Anderson

Editors

Angelos D. Keromytis

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 7%
Canada 2 2%
South Africa 1 1%
United States 1 1%
Croatia 1 1%
Unknown 78 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 27%
Student > Master 18 20%
Student > Bachelor 15 17%
Researcher 13 15%
Professor > Associate Professor 4 4%
Other 9 10%
Unknown 6 7%
Readers by discipline Count As %
Computer Science 65 73%
Psychology 4 4%
Mathematics 3 3%
Engineering 2 2%
Business, Management and Accounting 2 2%
Other 4 4%
Unknown 9 10%

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 05 October 2020.
All research outputs
#5,702,840
of 17,598,731 outputs
Outputs from Lecture notes in computer science
#2,282
of 7,712 outputs
Outputs of similar age
#111,278
of 351,367 outputs
Outputs of similar age from Lecture notes in computer science
#389
of 1,143 outputs
Altmetric has tracked 17,598,731 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 7,712 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 351,367 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 62% of its contemporaries.
We're also able to compare this research output to 1,143 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.