ISBN: 9786209265167 - interdisciplinary image staganalysis & visual communication challenges (4 resultados)

Taschenbuch. Condición: Neu. Interdisciplinary Image Staganalysis & Visual Communication Challenges | Asma'u Shehu (u. a.) | Taschenbuch | Englisch | 2025 | GlobeEdit | EAN 9786209265167 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The digital age is facing a crisis of visual authenticity due to steganography, which conceals messages within images. A major global threat that enables cybercrime, data exfiltration, and the coordination of extremist activities. This 'cat-and-mouse' game demands detection evolution.Traditional steganalysis (statistical methods, classical machine learning like Rich Models) is failing against highly adaptive modern steganographic schemes. While cutting-edge deep learning methods are powerful, they are often 'black boxes,' lacking the transparency and interpretability essential for forensic and legal admissibility.Interdisciplinary Image Steganalysis & Visual Communication Challenges introduces a necessary, holistic paradigm shift. It integrates state-of-the-art deep learning innovations with critical insights from law, media governance, and ethics.The book offers comprehensive, future-ready strategies for developing generalizable detection models, establishing rigorous and multifaceted benchmarking, and creating policy frameworks to balance security with civil liberties. 52 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The digital age is facing a crisis of visual authenticity due to steganography, which conceals messages within images. A major global threat that enables cybercrime, data exfiltration, and the coordination of extremist activities. This 'cat-and-mouse' game demands detection evolution.Traditional steganalysis (statistical methods, classical machine learning like Rich Models) is failing against highly adaptive modern steganographic schemes. While cutting-edge deep learning methods are powerful, they are often 'black boxes,' lacking the transparency and interpretability essential for forensic and legal admissibility.Interdisciplinary Image Steganalysis & Visual Communication Challenges introduces a necessary, holistic paradigm shift. It integrates state-of-the-art deep learning innovations with critical insights from law, media governance, and ethics.The book offers comprehensive, future-ready strategies for developing generalizable detection models, establishing rigorous and multifaceted benchmarking, and creating policy frameworks to balance security with civil liberties.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The digital age is facing a crisis of visual authenticity due to steganography, which conceals messages within images. A major global threat that enables cybercrime, data exfiltration, and the coordination of extremist activities. This 'cat-and-mouse' game demands detection evolution.Traditional steganalysis (statistical methods, classical machine learning like Rich Models) is failing against highly adaptive modern steganographic schemes. While cutting-edge deep learning methods are powerful, they are often 'black boxes,' lacking the transparency and interpretability essential for forensic and legal admissibility.Interdisciplinary Image Steganalysis & Visual Communication Challenges introduces a necessary, holistic paradigm shift. It integrates state-of-the-art deep learning innovations with critical insights from law, media governance, and ethics.The book offers comprehensive, future-ready strategies for developing generalizable detection models, establishing rigorous and multifaceted benchmarking, and creating policy frameworks to balance security with civil liberties.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…