Cyber Threat Intelligence

Chapter 1 Cyber Threat Intelligence: Challenges and Opportunities

Chapter 2 Machine Learning Aided Static Malware Analysis: A Survey and Tutorial

Chapter 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection Algorithms

Chapter 4 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms

Chapter 5 Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection

Chapter 6 Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware

Chapter 7 BoTShark: A Deep Learning Approach for Botnet Traffic Detection

Chapter 8 A Practical Analysis of the Rise in Mobile Phishing

Chapter 9 PDF-Malware Detection: A Survey and Taxonomy of Current Techniques

Chapter 10 Adaptive Traffic Fingerprinting for Darknet Threat Intelligence

Chapter 11 A Model for Android and iOS Applications Risk Calculation: CVSS Analysis and Enhancement Using Case-Control Studies

Chapter 12 A Honeypot Proxy Framework for Deceiving Attackers with Fabricated Content

Chapter 13 Investigating the Possibility of Data Leakage in Time of Live VM Migration

Chapter 14 Forensics Investigation of OpenFlow-Based SDN Platforms

Chapter 15 Mobile Forensics: A Bibliometric Analysis

Chapter 16 Emerging from the Cloud: A Bibliometric Analysis of Cloud Forensics Studies