Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis. This item is unavailable.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.

Mritunjay Rai is working as an assistant professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki . Dr. Rai has completed his Ph.D. in thermal imaging applications in the department of Electrical Engineering from IIT-ISM Dhanbad, his Master of Engineering (with distinction) in Instrumentation and Control from Birla Institute of Technology-Mesra, Ranchi, and his B.Tech in ECE from Shri Memorial College of Engineering and Management, Lucknow. Dr. Rai has more than 10 years of working experience in research as well as academics. In addition, he has guided several UG and PG projects. He has published many research articles in reputed journals published by Springer, Elsevier, IEEE, Inderscience, and MECS. He has contributed many chapters to books published by Intech Open Access, CRC, IGI Global, and Elsevier. He is an active reviewer and has reviewed many research papers in journals and at international and national conferences. His areas of interest lie in image processing, speech processing, artificial intelligence, machine learning, deep learning, the Internet of Things (IoT), robotics, and automation.