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Financial Cryptography and Data Security

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Cover of 'Financial Cryptography and Data Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Can Nature Help Us Solve Risk Management Issues?
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    Chapter 2 Quantitative Analysis of the Full Bitcoin Transaction Graph
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    Chapter 3 Beware the Middleman: Empirical Analysis of Bitcoin-Exchange Risk
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    Chapter 4 Evaluating User Privacy in Bitcoin
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    Chapter 5 The Importance of Being Earnest [In Security Warnings]
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    Chapter 6 Exploring Extrinsic Motivation for Better Security: A Usability Study of Scoring-Enhanced Device Pairing
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    Chapter 7 RelationGram: Tie-Strength Visualization for User-Controlled Online Identity Authentication
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    Chapter 8 Practical Fully Simulatable Oblivious Transfer with Sublinear Communication
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    Chapter 9 Unconditionally-Secure Robust Secret Sharing with Minimum Share Size
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    Chapter 10 A Scalable Scheme for Privacy-Preserving Aggregation of Time-Series Data
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    Chapter 11 “Give Me Letters 2, 3 and 6!”: Partial Password Implementations and Attacks
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    Chapter 12 Financial Cryptography and Data Security
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    Chapter 13 Unique Ring Signatures: A Practical Construction
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    Chapter 14 Aggregating CL-Signatures Revisited: Extended Functionality and Better Efficiency
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    Chapter 15 Accumulators and U-Prove Revocation
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    Chapter 16 Towards a Publicly-Verifiable Mix-Net Providing Everlasting Privacy
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    Chapter 17 P4R: Privacy-Preserving Pre-Payments with Refunds for Transportation Systems
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    Chapter 18 Coupon Collector’s Problem for Fault Analysis against AES — High Tolerance for Noisy Fault Injections
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    Chapter 19 Mitigating Smart Card Fault Injection with Link-Time Code Rewriting: A Feasibility Study
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    Chapter 20 On the Need of Physical Security for Small Embedded Devices: A Case Study with COMP128-1 Implementations in SIM Cards
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    Chapter 21 Securely Solving Simple Combinatorial Graph Problems
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    Chapter 22 Parallel and Dynamic Searchable Symmetric Encryption
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    Chapter 23 GMW vs. Yao? Efficient Secure Two-Party Computation with Low Depth Circuits
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    Chapter 24 The Untapped Potential of Trusted Execution Environments on Mobile Devices
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    Chapter 25 Stark
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    Chapter 26 Financial Cryptography and Data Security
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    Chapter 27 How to Attack Two-Factor Authentication Internet Banking
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    Chapter 28 CAge: Taming Certificate Authorities by Inferring Restricted Scopes
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    Chapter 29 Interdependent Privacy: Let Me Share Your Data
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    Chapter 30 A Secure Submission System for Online Whistleblowing Platforms
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    Chapter 31 Securing Anonymous Communication Channels under the Selective DoS Attack
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    Chapter 32 PIRMAP: Efficient Private Information Retrieval for MapReduce
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    Chapter 33 Avoiding Theoretical Optimality to Efficiently and Privately Retrieve Security Updates
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    Chapter 34 Three-Factor User Authentication Method Using Biometrics Challenge Response
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    Chapter 35 Synthetic Logs Generator for Fraud Detection in Mobile Transfer Services
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    Chapter 36 Onions for Sale: Putting Privacy on the Market
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    Chapter 37 Searchable Encryption Supporting General Boolean Expression Queries
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    Chapter 38 A Privacy Preserving E-Payment Architecture
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    Chapter 39 Communication Services Empowered with a Classical Chaos Based Cryptosystem
Attention for Chapter 32: PIRMAP: Efficient Private Information Retrieval for MapReduce
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Chapter title
PIRMAP: Efficient Private Information Retrieval for MapReduce
Chapter number 32
Book title
Financial Cryptography and Data Security
Published by
Springer, Berlin, Heidelberg, April 2013
DOI 10.1007/978-3-642-39884-1_32
Book ISBNs
978-3-64-239883-4, 978-3-64-239884-1
Authors

Travis Mayberry, Erik-Oliver Blass, Agnes Hui Chan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 43%
Student > Master 13 31%
Professor > Associate Professor 2 5%
Researcher 2 5%
Student > Doctoral Student 1 2%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 33 79%
Engineering 3 7%
Mathematics 2 5%
Physics and Astronomy 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 2 5%