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Security, Privacy, and Applied Cryptography Engineering

Overview of attention for book
Cover of 'Security, Privacy, and Applied Cryptography Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 An Observation of Non-randomness in the Grain Family of Stream Ciphers with Reduced Initialization Round
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    Chapter 2 Template-Based Fault Injection Analysis of Block Ciphers
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    Chapter 3 NEON SIKE: Supersingular Isogeny Key Encapsulation on ARMv7
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    Chapter 4 A Machine Vision Attack Model on Image Based CAPTCHAs Challenge: Large Scale Evaluation
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    Chapter 5 Addressing Side-Channel Vulnerabilities in the Discrete Ziggurat Sampler
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    Chapter 6 Secure Realization of Lightweight Block Cipher: A Case Study Using GIFT
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    Chapter 7 Exploiting Security Vulnerabilities in Intermittent Computing
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    Chapter 8 EdSIDH: Supersingular Isogeny Diffie-Hellman Key Exchange on Edwards Curves
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    Chapter 9 Correlation Power Analysis on KASUMI: Attack and Countermeasure
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    Chapter 10 On the Performance of Convolutional Neural Networks for Side-Channel Analysis
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    Chapter 11 Differential Fault Attack on SKINNY Block Cipher
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    Chapter 12 d -MUL: Optimizing and Implementing a Multidimensional Scalar Multiplication Algorithm over Elliptic Curves
Attention for Chapter 9: Correlation Power Analysis on KASUMI: Attack and Countermeasure
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Chapter title
Correlation Power Analysis on KASUMI: Attack and Countermeasure
Chapter number 9
Book title
Security, Privacy, and Applied Cryptography Engineering
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-05072-6_9
Book ISBNs
978-3-03-005071-9, 978-3-03-005072-6
Authors

Devansh Gupta, Somanath Tripathy, Bodhisatwa Mazumdar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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