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Cyber Security Cryptography and Machine Learning

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Cover of 'Cyber Security Cryptography and Machine Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Single Tweakey Cryptanalysis of Reduced-Round SKINNY -64
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    Chapter 2 Zero-Knowledge to the Rescue: Consistent Redundant Backup of Keys Generated for Critical Financial Services
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    Chapter 3 Security Ranking of IoT Devices Using an AHP Model
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    Chapter 4 Robust Malicious Domain Detection
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    Chapter 5 NeuroGIFT: Using a Machine Learning Based Sat Solver for Cryptanalysis
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    Chapter 6 Can the Operator of a Drone Be Located by Following the Drone’s Path?
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    Chapter 7 Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning
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    Chapter 8 Fast Polynomial Inversion for Post Quantum QC-MDPC Cryptography
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    Chapter 9 Efficient CORDIC-Based Sine and Cosine Implementation for a Dataflow Architecture
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    Chapter 10 SecureMCMR: Computation Outsourcing for MapReduce Applications
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    Chapter 11 Evasion Is Not Enough: A Case Study of Android Malware
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    Chapter 12 Toward Self-stabilizing Blockchain, Reconstructing Totally Erased Blockchain (Preliminary Version)
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    Chapter 13 A Recommender System for Efficient Implementation of Privacy Preserving Machine Learning Primitives Based on FHE
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    Chapter 14 Comparison of DNS Based Methods for Detecting Malicious Domains
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    Chapter 15 Average-Case Competitive Ratio of Scheduling Algorithms of Multi-user Cache
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    Chapter 16 CryptoRNN - Privacy-Preserving Recurrent Neural Networks Using Homomorphic Encryption
Attention for Chapter 6: Can the Operator of a Drone Be Located by Following the Drone’s Path?
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Chapter title
Can the Operator of a Drone Be Located by Following the Drone’s Path?
Chapter number 6
Book title
Cyber Security Cryptography and Machine Learning
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-49785-9_6
Book ISBNs
978-3-03-049784-2, 978-3-03-049785-9
Authors

Eliyahu Mashhadi, Yossi Oren, Gera Weiss, Mashhadi, Eliyahu, Oren, Yossi, Weiss, Gera

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The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%