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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.
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Über die Autorin bzw. den Autor
Asma'u Shehu (Lecturer, Sokoto State University) specializes in AI, Cybersecurity, and DigitalForensics, and a Ph.D. candidate.Abdulhakeem Abdulazeez (Lecturer, UDUS) holds a Ph.D. in Computer Networks. Research centers on 5G/beyond and machine learning.Maniru Malami Umar (PhD Researcher) focuses on wireless networks, 5G, and cybersecurity.
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Interdisciplinary Image Staganalysis & Visual Communication Challenges
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209265167
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209265167
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209265167
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 134423321
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