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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
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    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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
4 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

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

Twitter Demographics

The data shown below were collected from the profiles of 4 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 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 > Ph. D. Student 3 30%
Student > Bachelor 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

This research output has an Altmetric Attention Score of 31. 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 28 November 2018.
All research outputs
#572,491
of 13,935,576 outputs
Outputs from Lecture notes in computer science
#111
of 7,429 outputs
Outputs of similar age
#17,080
of 265,602 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 88 outputs
Altmetric has tracked 13,935,576 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 7,429 research outputs from this source. They receive a mean Attention Score of 4.4. 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 265,602 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 93% of its contemporaries.
We're also able to compare this research output to 88 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 97% of its contemporaries.