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.

List of contents

Introduction.- AI applications in cybercrime investigation and digital forensics.- Canine-Assisted Forensic Investigations.- Machine learning and deep learning for forensic data analysis.- AI-driven methods for evidence collection, processing, and analysis.- Forensic investigation tools for malware, ransomware, and cyber intrusions.- Blockchain and distributed ledger technologies in forensic investigations.- Profile cloning detection and analysis using AI techniques.- AI-enabled solutions for identifying and preventing digital fraud.- Integration of AI into cyber incident response and threat detection.- Ethical considerations in AI-enabled forensic investigations.- Workforce development initiatives focused on diversity in digital forensics.- Conclusion.

About the author

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: Brooks–Iyengar 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 and is an IEEE Golden Core Member. Professor Iyengar is an IEEE Distinguished Visitor, SIAM Distinguished Lecturer, and ACM National Lecturer. In 2006, his paper entitled, A Fast-Parallel Thinning Algorithm for the Binary Image Skeletonization, was the most frequently read article in the month of January in the International Journal of High-Performance Computing Applications. His innovative work called the Brooks-Iyengar algorithm along with Professor Richard Brooks from Clemson University is applied in industries to solve real-world applications. Dr. Iyengar’s work had a big impact; in 1988, when he and his colleagues discovered "NC algorithms for Recognizing Chordal Graphs and K-trees" [IEEE Trans. on Computers 1988]. This breakthrough result led to the extension of designing fast parallel algorithms by researchers like J. Naor (Stanford), M. Naor (Berkeley), and A. A. Schaffer (AT&T Bell Labs).
His research has been funded by National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy / Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), US Army Research Office (URO), and various state agencies and companies. He has served on US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering Departments across the country and the world. Dr. Iyengar has also served as a research proposal evaluator for the National Academy. Dr. Iyengar has been a Visiting Professor or Scientist at Oak Ridge National Laboratory, Jet Propulsion Laboratory, Naval Research Laboratory, and has been awarded the Satish Dhawan Visiting Chaired Professorship at the Indian Institute of Science, the Homi Bhabha Visiting Chaired Professor (IGCAR), and a professorship at the University of Paris-Sorbonne. 
Dr. Kenneth G. Furton is the Executive Director of the Global Forensic and Justice Center and  Provost Emeritus of Florida International University. He is a distinguished university  professor in the Department of Chemistry and Biochemistry and a world-leading scholar in  forensic chemistry focused on trace detection and olfaction. From 2007 to 2014, he served as dean  of the College of Arts and Sciences, which he reorganized into three mission-based  interdisciplinary schools to address some of the biggest issues facing society, raising $50M in  philanthropic gifts and doubling research funding to $60M annually. From 2014 to 2022 he served  as provost, executive vice president and chief operating officer of FIU where he has led the  development and implementation of two FIU strategic plans helping to create a dynamic, results oriented university with dramatic improvements in student success and research preeminence  including simultaneously doubling the four-year graduation rates to over 60%, doubling research  expenditures to $250M annually and a 30 fold increase in patents to more than 60 annually  achieving a Top 20 patent ranking. He also helped secure over $100 million in philanthropic gifts  and FIU moved from #8 to #1 in the state of Florida performance-based funding rankings. Under  his leadership FIU was the most improved R1 university in the nation in U.S. News rankings,  improving 54 spots in five years to No. 78 public and ranked No. 17 in Innovation and No. 5 in  Social Mobility. Deeply committed to the academy, Dr. Furton has supervised the research of more  than 140 students and been continuously funded for more than three decades, totaling more than  $20 million in grants. He has 32 patents, 2 books and 324 peer-reviewed publications with more  than 12,000 citations and an h-index of 60. He is a member of Phi Beta Kappa and an elected  fellow of the National Academy of Inventors as well as the American Academy of Forensic  Sciences. He has received significant attention in recent years for ground-breaking work using  dogs and sensors to detect humans, drugs, currency, accelerants, explosives, mass storage devices,  invasive species and medical conditions including the coronavirus disease. His researching and  deployment of COVID-19 detector dogs during the global pandemic reached an audience of over  2 billion worldwide.
Dr. Pronab Mohanty is a distinguished officer of the Indian Police Service (IPS) – 1994 batch, currently serving as the Director General of Police (DGP) – Cyber Economics and Narcotics (CEN) and Chief Information Security Officer (CISO) for Karnataka State Police. With over three decades of exemplary service, he has led critical law enforcement and cybersecurity initiatives in India, holding key positions in the Central Bureau of Investigation (CBI), the Ministry of Electronics and Information Technology (MeitY), the Unique Identification Authority of India (UIDAI/AADHAAR), and the Border Security Force (BSF).
Dr. Mohanty has an extensive background in investigating technologically complex cybercrimes, implementing advanced cybersecurity procedures in sensitive data centers, conducting forensic audits of data breaches, privacy, and consent management, and investigating serious corporate and financial frauds, human trafficking, and crimes against minors.
A strong advocate for modernizing police IT services, he has played a crucial role in developing and securing India’s national cyber architecture, leading the National Cyber Coordination Center (NCCC) and ensuring the security of critical Information and Communications Infrastructure in the BSF. His expertise in law enforcement modernization, cyber forensics, and advanced computing security has positioned him as one of India’s foremost experts in cybercrime prevention and digital forensics.
Dr. Naveen Kumar Chaudhary has been a professor of Cyber Security at the National Forensic Sciences University in Gandhinagar, Gujarat, India since 2019. He is also a Courtesy Research Professor at the Knight Foundation School of Computing and Information Sciences at Florida International University, Miami, Florida. He holds a Bachelor of Technology degree in Information Technology & Telecommunication Engineering and Master of Engineering degree in Digital Communication. He earned his Ph.D. in Engineering and advanced certifications in Cyber and Network security.
His extensive experience spans more than 25 years in engineering education, research, and government. He has steered many cutting-edge ICT projects and worked extensively on policy formulation in cybersecurity and e-governance. He is the recipient of a letter of appreciation for contribution towards the cause of literacy from Brent St. Denis, MP, Algoma Canada, in 1994. Dubai, SEWA award for his contribution to Cyber Security education in 2022. He also received COAS and CCOSC Commendation in 2009 and 2015, respectively for his innovation and distinguished service. He is an IEEE senior member and life member of IETE. 

Summary

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.

Product details

• Assisted by: Naveen Kumar Chaudhary (Editor), Kenneth G. Furton (Editor), Kenneth G Furton (Editor), S. S. Iyengar (Editor), Pronab Mohanty (Editor), Pronab Mohanty et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 11.12.2025
• EAN: 9783031980350
• ISBN: 978-3-0-3198035-0
• No. of pages: 250
• Illustrations: Approx. 250 p. 50 illus. in color.
• Series: Signals and Communication Technology
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Elektronik, Künstliche Intelligenz, Netzwerksicherheit, Artificial Intelligence, Kybernetik und Systemtheorie, Digital Forensics, Cyber-Physical Systems, Communications Engineering, Networks, Mobile and Network Security, Identifying and preventing digital fraud, Blockchain and distributed ledger technologies, Machine learning for forensic data analysis, Malware, ransomware, and cyber intrusions, AI applications in cybercrime investigation, Profile cloning detection and analysis, Canine-Assisted Forensic Investigations