Guide to Vulnerability Analysis for Computer Networks and Systems

Chapter 1 Review into State of the Art of Vulnerability Assessment using Artificial Intelligence

Chapter 2 A Survey of Machine Learning Algorithms and Their Application in Information Security

Chapter 3 Vulnerability Assessment of Cyber Security for SCADA Systems

Chapter 4 A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection

Chapter 5 AI- and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection

Chapter 6 Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications

Chapter 7 Automated Planning of Administrative Tasks Using Historic Events: A File System Case Study

Chapter 8 Defending Against Chained Cyber-Attacks by Adversarial Agents

Chapter 9 Vulnerability Detection and Analysis in Adversarial Deep Learning

Chapter 10 SOCIO-LENS: Spotting Unsolicited Caller Through Network Analysis

Chapter 11 Function Call Graphs Versus Machine Learning for Malware Detection

Chapter 12 Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models

Chapter 13 Masquerade Detection on Mobile Devices

Chapter 14 Identifying File Interaction Patterns in Ransomware Behaviour

Chapter 15 A Framework for the Visualisation of Cyber Security Requirements and Its Application in BPMN

Chapter 16 Big Data and Cyber Security: A Visual Analytics Perspective