Artificial intelligence driven forensics S. S. Iyengar, Kenneth G. Furton, Pronab Mohanty, Naveen Kumar Chaudhary, editors

Format:

Book

Author/Creator:

Iyengar, S. S.

Contributor:

Iyengar, S. S. (Sundararaja S.), editor.

Furton, Kenneth G., editor.

Mohanty, Pronab., editor.

Kumar Chaudhary, Naveen, editor.

Series:

Signals and communication technology 1860-4870

Language:

English

Subjects (All):

Digital forensic science.

Artificial intelligence.

artificial intelligence.

Physical Description:

1 online resource

illustration

Place of Publication:

Cham Springer 2026

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. 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

Contents:

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

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (SpringerLink, viewed May 28, 2026)

ISBN:

9783031980367

3031980360

OCLC:

1593069340

Access Restriction:

Restricted for use by site license