Digital Image Security: From Cryptographic Principles to Content Authenticity: The Digital War on Truth: How to Secure What We See - Softcover

Mufassir, Syed; Uikey, Devendra

Softcover

ISBN 10: 9999340458 ISBN 13: 9789999340458

Verlag: Eliva Press, 2026

Inhaltsangabe

The Indispensable Guide for the Post-Truth Era The year is 2025, and digital media faces an existential crisis. The democratization of manipulationa ccelerated by accessible editing software and crowned by the arrival of hyper-realistic generative AI has shattered our fundamental trust in recorded evidence. This collapse of faith has launched us into the era of the "Liar's Dividend, " where the existence of undetectable fakes allows malicious actors to dismiss authentic evidence as fabrication. In this volatile ecosystem, the verifiable history and chain of custody for a digital file—known as provenance—has become more valuable than the content itself. This book provides a deep, practical understanding of the technological war being waged, arming the reader with the knowledge needed to counter the threats. It serves as a single, integrated source bridging foundational cryptographic theory and cutting-edge forensic practice. The Foundation: Understand an image as structured data, a grid of pixels, and learn why the irreversible process of Lossy Compression creates predictable artifacts. The Defense: Master cryptographic principles, including Symmetric (fast for bulk data) and Asymmetric (solves key exchange) Encryption. Learn how Cryptographic Hash Functions (like SHA-256) create an unchangeable digital fingerprint to guarantee Integrity. The Vulnerability: Detail the Provenance Crisis and the rise of AI-Generated Media (Deepfakes), powered by sophisticated Generative Adversarial Networks (GANs) and Diffusion Models. The Countermeasure: Explore advanced defense strategies like Digital Watermarking for copyright protection and the cutting-edge C2PA standard for verifiable Content Credentials, which track a file's secure "chain of custody" . The Forensics: Learn to detect forgeries by finding the AI Fingerprint, identifying the Photo-Response Non-Uniformity (PRNU) noise pattern unique to every camera sensor.

Details zur Ausgabe

• Verlag: Eliva Press
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 9999340458
• ISBN 13: 9789999340458
• Einband: Taschenbuch
• Anzahl der Seiten: 207
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Deutschland