Advances in AI and Machine Learning for Multimedia Forensics

Intelligent Forensics: AI and ML Innovations in Multimedia Evidence Analysis
Erscheinungsjahr 2027
ISBN: 978-3-032-45949-7
Verlag: Springer

Buch, Englisch, Format (B × H): 168 mm x 240 mm

Reihe: Synthesis Lectures on Engineering, Science, and Technology

This book brings together several high-quality contributions from distinguished researchers and practitioners working at the forefront of AI-enabled cybersecurity, digital forensics, and related interdisciplinary areas. Each chapter provides in-depth technical insights, combining theoretical foundations with practical methodologies and real-world case studies that reflect current challenges and emerging trends in the field. The volume is designed to offer a coherent and comprehensive treatment of how artificial intelligence and machine learning are transforming modern cybersecurity and forensic investigation. Topics include advanced threat detection, intelligent  incident  response,  multimedia  and  network  forensics, adversarial  machine  learning, data integrity and trust, and the forensic analysis of complex, large-scale digital ecosystems. Collectively, the chapters highlight both methodological innovations and their implications for security, privacy, and resilience.

• Features future-proof forensic frameworks engineered to withstand generative, adversarial, and domain-shift threats;

• Includes multimodal AI integration for cross-modal reasoning across visual, textual, audio, and sensor intelligence;

• Presents security-aware AI emphasizing robustness, explainability, and quantum-resilient evidence preservation.

Zielgruppe

Research

Autoren/Hrsg.

Iyengar, S.S.

Phoha, Vir V.

Honnavalli, Prasad

Chaudhary, Naveen Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Rechtswissenschaften Strafrecht Kriminologie, Strafverfolgung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction.- Part I – Foundations of AI-Driven Multimedia Forensics and Digital Trust.- Social Media Forensics.- Future research directions in large-scale digital evidence analysis.- Artificial Intelligence-Driven Approaches for Enhancing Cybersecurity and Digital Forensic Investigations.- Integrating AI with Cybersecurity and Digital Forensics for Intelligent Threat Detection and Incident Response.- Part II – Multimedia Authenticity, Enhancement, and Forensic Reconstruction.- Quantum-Forensics.- Forensic Reconstruction of Traffic Incidents.- Multimodal Dataset Investigation for Hopeless Speech Detection in English.- Part III – Biometric and Physical Evidence Intelligence.- Accelerometer-Based Gait User Authentication Using Features Extracted from the Swing Phase.- A Generative AI-Based Solution for Automated Species Classification of Skeletal Remains in Forensic and Archaeological Contexts.- Part IV – Cyber Threat Intelligence, Malware Forensics, and Behavioral Analytics.- AI-Driven Malware Detonation Sandbox for Intelligent Threat Behavior Prediction.- Intelligent Threat Attribution Using AI-Enhanced Behavioral Analytics for Cybersecurity and Digital Forensic Ecosystems.- Adaptive Cyber Threat Hunting and Forensic Reconstruction Using Deep Learning and Automated Intelligence Frameworks.- Part V – Future-Resilient Security and Quantum-Aware Forensic Frameworks.- Toward Quantum-Resilient Multimedia Security: A Survey of Encryption and Forensic Techniques.- Part VI – Emerging Directions and Ethical Considerations.- Ethical, Legal, and Societal Implications of AI-Driven Forensic Intelligence.- Future Directions in AI-Driven and Multimodal Forensic Science.- Conclusion.

Über Autor(innen)

Prof. S.S. Iyengar is currently Distinguished University Professor, Founding Director of the Discovery Lab, and former Director of the U.S. Army–funded Center of Excellence in Digital Forensics at Florida International University. He is also Distinguished Chaired Professor at the National Forensics Sciences University, India. Widely regarded as a pioneer in AI for Digital Forensics, he received honors including the 2025 ‘Founding Father of AI Science in Digital Forensics’ recognition, the 2025 Distinguished Career Award in Computer Science, the Washington Academy of Sciences Fellowship, and the 2023 Karnataka Rajyotava Award. A leading researcher in intelligent systems, machine learning, data science, and sensor fusion, he has supervised over 66 Ph.D. students, published 600+ papers, authored or edited 32 books, and holds multiple patents. His influential Brooks–Iyengar Algorithm has earned over 140,000 citations, an h-index of close to 70, and global adoption in distributed sensing. He is a Fellow of IEEE, ACM, AAAS, NAI, AIMBE, Florida Inventors Hall of Fame and several international academies, and has received major awards from IEEE, INTERPOL, Fulbright, SDPS, and other organizations. His research has been funded by NSF, DARPA, ONR, DOE, NASA, and the U.S. Army. He has held visiting appointments at ORNL, JPL, NRL, IISc, and the University of Paris-Sorbonne. Dr. Iyengar has significantly advanced computational science, digital forensics, and STEM diversity through decades of research leadership, mentorship, and global collaboration.

Dr. Vir V. Phoha is Professor in the College of Engineering and Computer Science at Syracuse University and a leading researcher in behavioral biometrics, cybersecurity, and AI. He is known for foundational work enabling active and continuous authentication systems widely used in practice, with contributions in spoof resistance, anomaly detection, and machine-learning–driven security. He is a Fellow of AAAS, IEEE, NAI, SDPS, and AAIA. Dr. Phoha holds 14 patents and  has produced impactful scholarship across journals, conferences, and patents, with research supported by competitive federal and industry funding. He serves on editorial boards including ACM Digital Threats and IEEE Transactions on Computational Social Systems and has mentored numerous researchers who now hold prominent academic and industry positions.

Prof. Prasad Honnavalli is Professor of Computer Science and Engineering at PES University, Bangalore, India and the Director of the Centre for Information Security, Forensics & Cyber Resilience (C-ISFCR) and the Centre for Internet of Things (C-IoT). He hasa pivotal role in building the domain competency and leads the Teaching, Research, Executive Education, Industry partnership and Consultancy. With over 30 years of experience across India, Singapore, France, the U.S., Australia, and Switzerland, he previously held senior corporate leadership roles at Infosys, Sopra Steria Asia, and TATA group. He has led global digital-transformation projects exceeding $300M and has expertise in building Trustworthy, Resilient & Intelligent systems. A Senior Member of IEEE and Member of ACM, he has published widely, filed 26 patents (3 granted), and co-authored the book, Artificial Intelligence in Practice: Theory and Application for Cyber Security and Forensics (Springer, 2025).

Dr. Naveen Kumar Chaudhary is Professor of Cyber Security and Dean at the National Forensic Sciences University, Gandhinagar, and Courtesy Research Professor at Florida International University. With over 25 years of experience in academia, research, and government, he specializes in cybersecurity, digital forensics, cyber-physical systems, and drone forensics. He holds degrees in IT, telecommunication engineering, and digital communication, along with advanced certifications in cyber and network security. He serves as Editor-in-Chief of the NFSU Journal of Cyber Security and Digital Forensic and has edited multiple volumes with Springer Nature.