Deepfake and image forgery technologies have advanced at an alarming rate, creating significant challenges for digital forensics and cybersecurity professionals. Beyond technical concerns, the abuse of these technologies poses profound societal risks, including erosion of trust, reputational harm, and the exploitation of vulnerable populations, such as through image-based abuse and social engineering attacks.
This book provides a comprehensive exploration of tools, techniques, and workflows for authenticating digital imagery. Topics include AI-based feature extraction, forensic analysis of metadata, lighting, and textures, and detecting temporal inconsistencies in videos. Each chapter equips forensic analysts, IT professionals, and law enforcement personnel with actionable insights, case studies, and reliable methods for detecting manipulation while addressing ethical and legal considerations.
This book is an essential resource for practitioners and researchers seeking to mitigate the social and legal consequences of forgery abuse and ensure the integrity of digital evidence in an increasingly complex technological landscape.
| ISBN: | 9783119148276 |
| Publication date: | 21st April 2026 |
| Author: | Chad Randall Johnson |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 410 pages |
| Series: | De Gruyter STEM |
| Genres: |
Computer security IT and information systems management Information technology: general topics Business applications Graphical and digital media applications Applied computing Computer science |
Deepfake and image forgery technologies have advanced at an alarming rate, creating significant challenges for digital forensics and cybersecurity professionals. Beyond technical concerns, the abuse of these technologies poses profound societal risks, including erosion of trust, reputational harm, and the exploitation of vulnerable populations, such as through image-based abuse and social engineering attacks. This book provides a comprehensive exploration of tools, techniques, and workflows for authenticating digital imagery.
Deepfake and Image Forgery Detection features in the following genres: Computer security, IT and information systems management, Information technology: general topics, Business applications, Graphical and digital media applications, Applied computing, Computer science
Paperback. £73.80, down from the £82.00 cover price. Print on Demand / Special Order.
Deepfake and Image Forgery Detection was written by Chad Randall Johnson and published by De Gruyter
Deepfake and Image Forgery Detection has 410 pages
Yes it is part of De Gruyter STEM series
£73.80, reduced from £82.00. Print on Demand / Special Order.