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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 I Think, Therefore I Am: Usability and Security of Authentication Using Brainwaves
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    Chapter 2 Usability and Security of Gaze-Based Graphical Grid Passwords
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    Chapter 3 The Impact of Length and Mathematical Operators on the Usability and Security of System-Assigned One-Time PINs
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    Chapter 4 QRishing: The Susceptibility of Smartphone Users to QR Code Phishing Attacks
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    Chapter 5 “Comply or Die” Is Dead: Long Live Security-Aware Principal Agents
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    Chapter 6 Information Security as a Credence Good
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    Chapter 7 Sorry, I Don’t Get It: An Analysis of Warning Message Texts
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    Chapter 8 Soulmate or Acquaintance? Visualizing Tie Strength for Trust Inference
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    Chapter 9 Awareness about Photos on the Web and How Privacy-Privacy-Tradeoffs Could Help
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    Chapter 10 Bootstrapping Trust in Online Dating: Social Verification of Online Dating Profiles
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    Chapter 11 SHADE: Secure HAmming DistancE Computation from Oblivious Transfer
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    Chapter 12 Garbled Circuits via Structured Encryption
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    Chapter 13 On the Minimal Number of Bootstrappings in Homomorphic Circuits
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    Chapter 14 Privacy Preserving Data Processing with Collaboration of Homomorphic Cryptosystems
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    Chapter 15 Parallel Homomorphic Encryption
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    Chapter 16 Targeting FPGA DSP Slices for a Large Integer Multiplier for Integer Based FHE
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% 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 (99th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
4 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Financial Cryptography and Data Security
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-41320-9
ISBNs
978-3-64-241319-3, 978-3-64-241320-9
Editors

Andrew A. Adams, Michael Brenner, Matthew Smith

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 90%
Student > Bachelor 3 30%
Student > Ph. D. Student 3 30%
Lecturer 2 20%
Student > Postgraduate 2 20%
Other 3 30%
Readers by discipline Count As %
Arts and Humanities 5 50%
Social Sciences 5 50%
Linguistics 4 40%
Business, Management and Accounting 4 40%
Economics, Econometrics and Finance 2 20%
Other 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 July 2020.
All research outputs
#1,066,113
of 24,885,505 outputs
Outputs from Lecture notes in computer science
#125
of 8,149 outputs
Outputs of similar age
#8,913
of 292,582 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 315 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,149 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 292,582 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 315 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 99% of its contemporaries.