About the Book
The rapid advancement of artificial intelligence (AI) and digital technologies is reshaping cybercrime and digital investigations, introducing new challenges in identifying, analyzing, and interpreting digital evidence. Emerging threats demand forensic approaches that move beyond traditional, tool-centric methods. At the same time, AI and machine learning are enhancing evidence acquisition, pattern recognition, anomaly detection, and investigative decision-making. This convergence requires multidisciplinary frameworks that integrate computer science, cybersecurity, AI, law, ethics, and policy. Such approaches are essential to ensure forensic accuracy, transparency, and legal admissibility. Multidisciplinary Frameworks for Digital Forensics in the AI Era develops integrated approaches to address the evolving challenges of digital forensics in the age of AI. This book advances current research by combining AI-driven forensic techniques with established investigative, legal, and ethical principles, bridging critical gaps between theory, practice, and policy. By bringing together contributions from diverse disciplines and real-world case studies, it extends existing digital forensics research, fosters cross-disciplinary collaboration, and supports the development of robust, adaptive, and future-ready solutions for complex digital ecosystems. Covering topics such as anti-forensic masks in synthetic media, structured visual evidence reasoning, and automated cyber-attack investigation, this book is a vital academic resource for graduate and doctoral students, digital forensic analysts, law enforcement agencies, cybersecurity practitioners, policymakers, legal professionals, and more.
About the Author :
Ahmad Tasnim Siddiqui is a scholar and educator specializing in the application of emerging technologies in higher education, with a particular focus on IOT, Artificial Intelligence, Web Application Development, Credentialing, Digital Learning Systems, and Data Governance. He serves as a faculty member at Horizon University College, where he contributes to academic development, research, and technology-driven educational innovation. Dr. Siddiqui holds a PhD in Computer Science, and his research interests span AI-driven learning analytics, decentralized credentialing, e-learning, e-commerce and mobile commerce, Internet of Things (IoT), Health IT, educational data management, and technology-enhanced pedagogy. He has played an active role in curriculum design, faculty development initiatives, and institutional digital transformation efforts, collaborating with interdisciplinary teams to advance modern pedagogical and administrative practices. A committed researcher and academic leader, Dr. Siddiqui has authored and presented work on the integration of disruptive technologies into higher education, with an emphasis on transparency, learner mobility, and sustainable innovation. His professional engagement includes membership in the Institute of Electrical and Electronics Engineers (IEEE), reflecting his dedication to contributing to scholarly and professional communities in computing and technology. As the editor of Innovating Credentialing and Data Management in Higher Education with Blockchain and AI, Dr. Siddiqui brings together global perspectives to explore cutting-edge advancements and promote strategic, responsible digital transformation across higher education systems.
