Securing Multimedia in the Age of Deepfakes
AI-Driven Forensics and Quantum-Resilient Cyber Defense
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Beschreibung
Securing Multimedia in the Age of Deepfakes provides a comprehensive, end-to-end treatment of multimedia security, covering deepfake and synthetic media detection, digital forensics, adversarially robust AI, watermarking, fingerprinting, content provenance, authenticated media pipelines, and post-quantum cryptography. It addresses image, video, and audio security while examining evidence handling, chain of custody, datasets, evaluation metrics, source attribution, secure storage, real-time streaming, and cryptographic signing.
The book explains how spatial, temporal, spectral, and metadata-based signals can be combined to detect, authenticate, and attribute manipulated content. It presents practical approaches for defending against evasion and data-poisoning attacks, conducting red-team evaluations, and establishing trusted media workflows through hashing, watermarking, digital signatures, and content authenticity frameworks. It also examines hybrid classical and post-quantum security architectures, including their performance, interoperability, and deployment trade-offs.
Designed for researchers, postgraduate students, educators, cybersecurity professionals, forensic analysts, and security engineers, the book connects foundational concepts with implementation-oriented methods and real-world applications. Readers will gain practical frameworks for developing, evaluating, and deploying multimedia security systems that remain trustworthy amid rapid advances in generative AI and quantum computing.
Securing Multimedia in the Age of Deepfakes provides a comprehensive, end-to-end treatment of multimedia security, covering deepfake and synthetic media detection, digital forensics, adversarially robust AI, watermarking, fingerprinting, content provenance, authenticated media pipelines, and post-quantum cryptography. It addresses image, video, and audio security while examining evidence handling, chain of custody, datasets, evaluation metrics, source attribution, secure storage, real-time streaming, and cryptographic signing.
The book explains how spatial, temporal, spectral, and metadata-based signals can be combined to detect, authenticate, and attribute manipulated content. It presents practical approaches for defending against evasion and data-poisoning attacks, conducting red-team evaluations, and establishing trusted media workflows through hashing, watermarking, digital signatures, and content authenticity frameworks. It also examines hybrid classical and post-quantum security architectures, including their performance, interoperability, and deployment trade-offs.
Designed for researchers, postgraduate students, educators, cybersecurity professionals, forensic analysts, and security engineers, the book connects foundational concepts with implementation-oriented methods and real-world applications. Readers will gain practical frameworks for developing, evaluating, and deploying multimedia security systems that remain trustworthy amid rapid advances in generative AI and quantum computing.
Compares classical forensic techniques with CNN, transformer, and diffusion-era detection methods Uses practical case studies to connect technical methods with forensic, legal, and policy requirements Bridges research and industry through reproducible workflows, implementation guidance, and evaluation tools
Autor*in
Yashas Hariprasad
Themen in »Securing Multimedia in the Age of Deepfakes«
Multimedia Security Digital Forensics Deepfake Detection Synthetic Media Adversarial Machine Learning Multimedia Authentication Content Provenance Digital Watermarking Multimedia Fingerprinting Source Attribution Post-Quantum Cryptography Quantum-Resilient Cybersecurity AI-Driven Forensics Image Forensics Video Forensics