Artificial Intelligence Driven Forensics

S. S. Iyengar, Kenneth G. Furton, Pronab Mohanty, Naveen Kumar Chaudhary (Herausgeber)

Buch | Hardcover

X, 240 Seiten

2026
Springer International Publishing (Verlag)
978-3-031-98035-0 (ISBN)

Infos

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.

Autor

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.

Inhalt

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.

Produkt-Details

• Erscheinungsdatum: 20.07.2025
• Reihe/Serie: Signals and Communication Technology
• Zusatzinfo: X, 240 p. 50 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: AI applications in cybercrime investigation • Blockchain and distributed ledger technologies • Canine-Assisted Forensic Investigations • digital forensics • Identifying and preventing digital fraud • Machine learning for forensic data analysis • Malware, ransomware, and cyber intrusions • Profile cloning detection and analysis
• ISBN-10: 3-031-98035-2 / 3031980352
• ISBN-13: 978-3-031-98035-0 / 9783031980350
• Zustand: Neuware