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Handbook of Big Data Analytics and Forensics

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Cover of 'Handbook of Big Data Analytics and Forensics'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Analytics and Forensics: An Overview
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    Chapter 2 IoT Privacy, Security and Forensics Challenges: An Unmanned Aerial Vehicle (UAV) Case Study
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    Chapter 3 Detection of Enumeration Attacks in Cloud Environments Using Infrastructure Log Data
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    Chapter 4 Cyber Threat Attribution with Multi-View Heuristic Analysis
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    Chapter 5 Security of Industrial Cyberspace: Fair Clustering with Linear Time Approximation
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    Chapter 6 Adaptive Neural Trees for Attack Detection in Cyber Physical Systems
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    Chapter 7 Evaluating Performance of Scalable Fair Clustering Machine Learning Techniques in Detecting Cyber Attacks in Industrial Control Systems
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    Chapter 8 Fuzzy Bayesian Learning for Cyber Threat Hunting in Industrial Control Systems
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    Chapter 9 Cyber-Attack Detection in Cyber-Physical Systems Using Supervised Machine Learning
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    Chapter 10 Evaluation of Scalable Fair Clustering Machine Learning Methods for Threat Hunting in Cyber-Physical Systems
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    Chapter 11 Evaluation of Supervised and Unsupervised Machine Learning Classifiers for Mac OS Malware Detection
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    Chapter 12 Evaluation of Machine Learning Algorithms on Internet of Things (IoT) Malware Opcodes
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    Chapter 13 Mac OS X Malware Detection with Supervised Machine Learning Algorithms
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    Chapter 14 Machine Learning for OSX Malware Detection
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    Chapter 15 Hybrid Analysis on Credit Card Fraud Detection Using Machine Learning Techniques
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    Chapter 16 Mapping CKC Model Through NLP Modelling for APT Groups Reports
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    Chapter 17 Ransomware Threat Detection: A Deep Learning Approach
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    Chapter 18 Scalable Fair Clustering Algorithm for Internet of Things Malware Classification
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