Handbook of Big Data Analytics and Forensics

Chapter 1 Big Data Analytics and Forensics: An Overview

Chapter 2 IoT Privacy, Security and Forensics Challenges: An Unmanned Aerial Vehicle (UAV) Case Study

Chapter 3 Detection of Enumeration Attacks in Cloud Environments Using Infrastructure Log Data

Chapter 4 Cyber Threat Attribution with Multi-View Heuristic Analysis

Chapter 5 Security of Industrial Cyberspace: Fair Clustering with Linear Time Approximation

Chapter 6 Adaptive Neural Trees for Attack Detection in Cyber Physical Systems

Chapter 7 Evaluating Performance of Scalable Fair Clustering Machine Learning Techniques in Detecting Cyber Attacks in Industrial Control Systems

Chapter 8 Fuzzy Bayesian Learning for Cyber Threat Hunting in Industrial Control Systems

Chapter 9 Cyber-Attack Detection in Cyber-Physical Systems Using Supervised Machine Learning

Chapter 10 Evaluation of Scalable Fair Clustering Machine Learning Methods for Threat Hunting in Cyber-Physical Systems

Chapter 11 Evaluation of Supervised and Unsupervised Machine Learning Classifiers for Mac OS Malware Detection

Chapter 12 Evaluation of Machine Learning Algorithms on Internet of Things (IoT) Malware Opcodes

Chapter 13 Mac OS X Malware Detection with Supervised Machine Learning Algorithms

Chapter 14 Machine Learning for OSX Malware Detection

Chapter 15 Hybrid Analysis on Credit Card Fraud Detection Using Machine Learning Techniques

Chapter 16 Mapping CKC Model Through NLP Modelling for APT Groups Reports

Chapter 17 Ransomware Threat Detection: A Deep Learning Approach

Chapter 18 Scalable Fair Clustering Algorithm for Internet of Things Malware Classification