Artificial Intelligence Driven Forensics

This book explores the transformative role of artificial intelligence (AI) in the field of digital forensics, offering a comprehensive overview of how AI technologies are reshaping crime investigation, cybersecurity, and evidence analysis. The book bridges traditional forensic methodologies with cutting-edge AI techniques, such as machine learning, deep learning, natural language processing, and graph analytics, to improve the accuracy, speed, and scalability of forensic investigations. Structured around real-world applications and case studies, the book covers critical areas including AI-enhanced malware detection, user behavior profiling, deep fake identification, social media profile cloning detection, canine forensics and hybrid approaches to analyzing digital artifacts. It also delves into the integration of AI with forensic tools for automating incident response, identifying anomalies in massive log files, and supporting decision-making in complex cybercrime scenarios. A key feature of the book is its interdisciplinary approach, blending insights from computer science, cybersecurity, law, and ethics. It addresses not only the technical mechanisms behind AI-driven forensics but also the legal, ethical, and societal implications, particularly regarding privacy, accountability, and the admissibility of AI-generated evidence in courts. Geared toward researchers, practitioners, students, and policymakers, Artificial Intelligence Driven Forensics serves as both a foundational text and an advanced guide to understanding the future of forensic science in the age of AI.

Presents research presented at the AI-Enabled Forensic Investigations Network in Digital Sciences Conference Includes innovation at the intersection of AI and digital forensics, focusing on inclusivity and workforce development Brings together industry leaders to share advancements in forensics, cybersecurity, and investigative methodologies

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Dr. S.S. Iyengar is a distinguished computational scientist, entrepreneur, advisor and mentor to millions of scientists and sits on the boards of companies, including startups through his India-USA based foundation. He was honored as the 'Founding Father of AI Science in Digital Forensics' by the Soft Computing Research Society in February 2025. This prestigious recognition is a testament to his lifelong contributions to artificial intelligence, cybersecurity, and digital forensics. He was recently awarded the 2025 Distinguished Career Award in Computer Science and Fellow of the Washington Academy of Sciences. He is also known as the 'Founding Father' for his contributions to the development of Information Science Technology for Forensic Application (2022) by a prestigious European University. He is also recognized as the World's Most Influential Scientific Minds in Computational Science. He is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Founding Director of the World's First US Army-funded Center of Excellence in Digital Forensics at Florida International University, Miami. He is also the Distinguished Chaired Professor at National Forensics Sciences University, Gandhinagar, India. He was awarded the 2023 Karnataka Rajyotava Award (Karnataka State's 2nd Highest Civilian Award) on November 1st, 2023. He has been involved with research and education in high-performance intelligent systems, Data Science and Machine Learning Algorithms, Sensor Fusion, Data Mining, and Intelligent Systems. Since receiving his Ph.D. degree in 1974 from Missi. State Univ., USA, he has directed over 65 Ph.D. students, many number of postdocs, and many research undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world.

He has published more than 600 research papers, has authored/co-authored and edited 32 books and hold various patents. Over the lifetime, his work, Brooks-Iyengar Algorithm has over 5223 publication(s) within this topic and has received 138,976 citation(s). The topic is also known as: BrooksIyengar hybrid algorithm. His h-index is 68 and is identified among the top 2% cited scholars and world scientists (from Stanford University and EBMs of JSAN journal. The book titled Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm authored by Prof. Pawel (Poland) and others and published by Springer in 2020 celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing. His work has been featured on the cover of many scientific journals like IEEE transactions and the National Science Foundation's breakthrough technologies report to the US Congress by his research group in both 2014 and again in 2016.

He has served on many scientific committees and panels worldwide and has served as the editor/guest editor of various IEEE and ACM journals. His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled "Introduction to Parallel Algorithms" has been translated into Chinese. During the last thirty years Dr. Iyengar has brought in over 65 million dollars for research and education. More recently in Spring 2021, Dr. Iyengar in collaboration with HBCUs were awarded a $2.25 M funding for setting up a Digital Forensics Center of Excellence over a period of 5 years (2021-2026). He received an honorary Doctor of Science for 4 times and recently from Poznan University of Technology in Poland in May 2023. He has been awarded the Lifetime Achievement Award 3 times (INTERPOL, BHU, IEEE) and recently for his contribution to the for his contribution to the field of Digital Forensics on November 8, 2022, during the 7th INTERPOL DIGITAL FORENSICS EXPERT GROUP (DFEG) MEETING at National Forensics Sciences University, Gandhinagar, Gujarat, India. He has provided the students and faculty with a vision for active learning and collaboration at Jackson State University, Louisiana State University, Florida International University, and across the world.

Dr. Iyengar is a Member of the European Academy of Sciences, Member of the European Academy of Arts and Sciences, a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Society for Design and Process Science (SDPS), a Fellow of the National Academy of Inventors (NAI), and a Fellow of the American Institute for Medical and Biological Engineering (AIMBE). He has received various national and international awards including the crowning Test of Time Research (for his seminal work which has impacted billions of computer and internet users worldwide) and Scholarly Contribution Award from 2019 IEEE Congress on Cybermatics, the distinguished Fulbright Scientist, the Times Network NRI (Non-Resident Indian) of the Year Award for 2017, IEEE Meritorious Service award, most distinguished CVR Award at the Society for Design and Process Science (SDPS 2017), Innovation-2-Industry Award, LSU Distinguished Rain Makers for Leadership and Research Award, World's Best Technology Showcase award, Technology Innovation Award Louisiana Tech University Research Foundation Inventor Award, Distinguished LSU Research Master Award, IBM Distinguished Faculty Award, and the NRI Mahatma Gandhi Pradvasi Medal at the House of Lords in London in 2013 among others. He was awarded Satish Dhawan Chaired Professorship at IISc, then Roy Paul Daniel Professorship at LSU. He has received the Distinguished Alumnus Award of the Indian Institute of Science. In 1998, he was awarded the IEEE Computer Society's McCluskey Technical Achievement Award an…