Description
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.
Author's/Editor's Biography
Mritunjay Rai (Ed.)
Dr.
Mritunjay Rai
is an accomplished researcher and Assistant Professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki, India. He specializes in digital image processing, machine learning, and thermal imaging, with a strong research focus on biomedical imaging, surveillance systems, and emotion recognition. He earned his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, in 2023, with a dissertation on real-time thermal imaging algorithms. He also holds a Master’s degree in Instrumentation and Control from BIT Mesra, where he worked on intelligent video surveillance systems. Dr. Rai has published extensively in reputed journals such as The Journal of Supercomputing and Multimedia Tools and Applications, contributing to advancements in motion detection, medical diagnostics, and automated emotion recognition using deep learning. His work emphasizes real-time processing, algorithmic efficiency, and accuracy. He is actively involved in editing high-impact books with IGI Global, Wiley, and Elsevier, covering AI in surveillance, healthcare, agriculture, and disaster prediction. Among his notable projects is a government-funded initiative for early detection of diabetic foot ulcers using thermal imaging and sensor fusion. Dr. Rai’s interdisciplinary research bridges computational intelligence and real-world applications in healthcare, industry, and environmental monitoring.