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Smart Card Research and Advanced Applications

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Cover of 'Smart Card Research and Advanced Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluation of ASIC Implementation of Physical Random Number Generators Using RS Latches
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    Chapter 2 From New Technologies to New Solutions
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    Chapter 3 Low Entropy Masking Schemes, Revisited
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    Chapter 4 On the Vulnerability of Low Entropy Masking Schemes
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    Chapter 5 A Machine Learning Approach Against a Masked AES
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    Chapter 6 Clustering Algorithms for Non-profiled Single-Execution Attacks on Exponentiations
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    Chapter 7 Optimization of Power Analysis Using Neural Network
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    Chapter 8 Time-Frequency Analysis for Second-Order Attacks
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    Chapter 9 Vulnerability Analysis of a Commercial .NET Smart Card
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    Chapter 10 Manipulating the Frame Information with an Underflow Attack
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    Chapter 11 Smart Card Research and Advanced Applications
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    Chapter 12 Revisiting Atomic Patterns for Scalar Multiplications on Elliptic Curves
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    Chapter 13 Efficient and First-Order DPA Resistant Implementations of Keccak
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    Chapter 14 Practical Analysis of RSA Countermeasures Against Side-Channel Electromagnetic Attacks
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    Chapter 15 The Temperature Side Channel and Heating Fault Attacks
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    Chapter 16 Glitch It If You Can: Parameter Search Strategies for Successful Fault Injection
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    Chapter 17 Smart Card Research and Advanced Applications
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Citations

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Title
Smart Card Research and Advanced Applications
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-08302-5
ISBNs
978-3-31-908301-8, 978-3-31-908302-5
Editors

Francillon, Aurélien, Rohatgi, Pankaj

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 1 14%
Mathematics 1 14%
Unknown 3 43%