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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

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    Book Overview
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    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
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Title
Cyber Security Cryptography and Machine Learning
Published by
Springer International Publishing, August 2020
DOI 10.1007/978-3-030-49785-9
ISBNs
978-3-03-049784-2, 978-3-03-049785-9
Editors

Dolev, Shlomi, Kolesnikov, Vladimir, Lodha, Sachin, Weiss, Gera

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