Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis

As cyber threats grow in scale, sophistication, and human involvement, traditional technical defenses struggle to protect digital ecosystems. Cyber forensic frameworks evolve toward user-centric human threat intelligence analysis, recognizing that attackers, insiders, and victims are all human actors with distinct behaviors, motivations, and decision patterns. By integrating behavioral analytics, digital trace evidence, and contextual user data, these frameworks enable investigators to move toward proactive threat identification and attribution. Focusing on the human dimension of cyber forensics may further enhance the accuracy of threat intelligence while supporting more adaptive, ethical, and resilient security strategies in complex digital environments. Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis explores the integration of cyber forensic methodologies with human threat intelligence to enhance security and investigative measures against sophisticated cyber threats. It provides a structured framework for analyzing human-driven cyber threats, incorporating behavioral analysis, AI, and forensic technologies. This book covers topics such as cybercrime, social engineering, and privacy rights, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists. Coverage: The many academic areas covered in this publication include, but are not limited to: Artificial Intelligence (AI) Behavioral Analysis Blockchain Criminal Science and Forensics Cryptocurrency Cyber and Network Security Cyber Threats Cybercrime Cybertechnology Ethics and Law Forensic Technologies Hybrid Machine Learning Privacy Rights Social Engineering Threat Intelligence.