Naskar ruchira (7 Ergebnisse)
Digital Forensics: Current Trends and Practices
Ruchira Naskar, Venkata Udaya Sameer, Rahul Dixit and Jamimamul Bakas
- Hardcover
- Erstausgabe
Anbieter: Vedams eBooks (P) Ltd, New Delhi, IndienVedams eBooks (P) Ltd
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EUR 24,77
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Hardcover. Zustand: New. 1st Edition. Contents: Preface. Part I: Introduction to Digital Forensics: 1. Why Digital Forensics. 2. Most Common Forensic Problems Today. Part II: Forensic Source Camera Identification: 3. Challenges, Solutions and State-of-the-Art. 4. Features based Source Camera Identification. 5. PRNU Correlation B…ased Forensic Techniques for Source: Camera Identification. 6. Unknown Model Detection in Source Camera Identification. 7. Recent Development: Deep Learning Based Source-Camera Identification. Part III: Region Duplication: A Preliminary yet Precarious Threat to Multimedia Integrity. 8. Introduction to Region Duplication Attack or Copy-Move Forgery in Digital Images. 9. Region Duplication Attack and its Forensic Solutions - State-of-the-Art Research Practices. 10. Image Block Matching based Region Duplication Detection. 11. Addressing Post-Processing Attacks in Copy-Move Forgery Detection. 12. Combining Geometric and Post-Processing Attacks in Copy- Move Forgery. 13. Region Duplication Detection using Image Key-points. Part IV: Digital Forensics in Compressed Multimedia. 14. Double Compression Based Forgery Detection in Images and Videos. 15. Intra and Inter Frame Video Forgery Detection: State-of- the-Art Problems and Solutions. Part V: Counter Forensics: Major Threat to Forensic Technology : 16. Present Day Counter Forensic Challenges. 17. Deep Learning Based Counter Forensics. References. Subject Index. This book presents to the readers the basics of Digital Forensics; why this domain is gaining rapid importance in the present day. We clarify the difference of this domain of research, from traditional security measures; specifically the additional challenges that digital forensic techniques are able to overcome, as compared to the olden techniques of cryptography, watermarking and steganography. In the book, we discuss about the most important challenges faced by forensic analysts in the present day, along with the state-of-the-art solutions. We also present the recent challenges identified in this field, while paving a path for possible future researches towards solving those.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 56,48
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Paperback. Zustand: Brand New. 106 pages. 9.50x7.75x0.50 inches. In Stock.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 38,97
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Digital Watermarking is the art and science of embedding information in existing digital content for Digital Rights Management (DRM) and authentication. Reversible watermarking is a class of (fragile) digital watermarking that not only authenticates…multimedia data content, but also helps to maintain perfect integrity of the original multimedia 'cover data.' In non-reversible watermarking schemes, after embedding and extraction of the watermark, the cover data undergoes some distortions, although perceptually negligible in most cases. In contrast, in reversible watermarking, zero-distortion of the cover data is achieved, that is the cover data is guaranteed to be restored bit-by-bit. Such a feature is desirable when highly sensitive data is watermarked, e.g., in military, medical, and legal imaging applications. This work deals with development, analysis, and evaluation of state-of-the-art reversible watermarking techniques for digital images. In this work we establish the motivation for research on reversible watermarking using a couple of case studies with medical and military images. We present a detailed review of the state-of-the-art research in this field. We investigate the various subclasses of reversible watermarking algorithms, their operating principles, and computational complexities. Along with this, to give the readers an idea about the detailed working of a reversible watermarking scheme, we present a prediction-based reversible watermarking technique, recently published by us. We discuss the major issues and challenges behind implementation of reversible watermarking techniques, and recently proposed solutions for them. Finally, we provide an overview of some open problems and scope of work for future researchers in this area.
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 35,10
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Taschenbuch. Zustand: Neu. Reversible Digital Watermarking | Theory and Practices | Ruchira Naskar (u. a.) | Taschenbuch | Synthesis Lectures on Information Security, Privacy, and Trust | xii | Englisch | 2014 | Springer | EAN 9783031012143 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heide…lberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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EUR 43,30
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Taschenbuch. Zustand: Neu. Secret Sharing in User Hierarchy | Share Generation, Distribution and Renewal | Ruchira Naskar | Taschenbuch | 64 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659342646 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preig…u[dot]de | Anbieter: preigu.
Digital Image Forensics: Theory and Implementation (Studies in Computational Intelligence, 755)
Roy, Aniket; Dixit, Rahul; Naskar, Ruchira; Chakraborty, Rajat Subhra
Sprache: Englisch
Verlag: Springer 2019
Serie: Studies in Computational Intelligence, Buch 340 von 538. Buch 340 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 140,15
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer 2019
Serie: Studies in Computational Intelligence, Buch 340 von 538. Buch 340 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 181,77
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Hardcover. Zustand: Brand New. 89 pages. 9.75x6.50x0.50 inches. In Stock.
