Machine learning in image steganalysis /

Machine learning in image steganalysis /

"The only book to look at steganalysis from the perspective of machine learning theory, and to apply the common technique of machine learning to the particular field of steganalysis; ideal for people working in both disciplines"--

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Schaathun, Hans Georg
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Chichester, West Sussex, United Kingdom : IEEE/Wiley, 2012.
Θέματα:
Machine learning.
Wavelets (Mathematics)
Data encryption (Computer science)
SCIENCE > Waves & Wave Mechanics.
Electronic books.
Διαθέσιμο Online:Full Text via HEAL-Link
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037 |a 10.1002/9781118437957  |b Wiley InterScience  |n http://www3.interscience.wiley.com 
037 |a 347C45D1-7134-4AC6-AFD6-80E756114D12  |b OverDrive, Inc.  |n http://www.overdrive.com 
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049 |a MAIN 
100 1 |a Schaathun, Hans Georg. 
245 1 0 |a Machine learning in image steganalysis /  |c Hans Georg Schaathun. 
264 1 |a Chichester, West Sussex, United Kingdom :  |b IEEE/Wiley,  |c 2012. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a "The only book to look at steganalysis from the perspective of machine learning theory, and to apply the common technique of machine learning to the particular field of steganalysis; ideal for people working in both disciplines"--  |c Provided by publisher. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record and CIP data provided by publisher. 
505 0 0 |t Steganography and Steganalysis --  |t Getting Started with a Classifier --  |t Features. Histogram Analysis --  |t Bit-Plane Analysis --  |t More Spatial Domain Features --  |t The Wavelets Domain --  |t Steganalysis in the JPEG Domain --  |t Calibration Techniques --  |t Classifiers. Simulation and Evaluation --  |t Support Vector Machines --  |t Other Classification Algorithms --  |t Feature Selection and Evaluation --  |t The Steganalysis Problem --  |t Future of the Field. 
505 0 |a Front Matter -- Overview. Introduction -- Steganography and Steganalysis -- Getting Started with a Classifier -- Features. Histogram Analysis -- Bit-Plane Analysis -- More Spatial Domain Features -- The Wavelets Domain -- Steganalysis in the JPEG Domain -- Calibration Techniques -- Classifiers. Simulation and Evaluation -- Support Vector Machines -- Other Classification Algorithms -- Feature Selection and Evaluation -- The Steganalysis Problem -- Future of the Field -- Bibliography -- Index. 
650 0 |a Machine learning. 
650 0 |a Wavelets (Mathematics) 
650 0 |a Data encryption (Computer science) 
650 4 |a Machine learning. 
650 4 |a Wavelets (Mathematics) 
650 4 |a Data encryption (Computer science) 
650 7 |a SCIENCE  |x Waves & Wave Mechanics.  |2 bisacsh 
650 7 |a Data encryption (Computer science)  |2 fast  |0 (OCoLC)fst00887935 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Wavelets (Mathematics)  |2 fast  |0 (OCoLC)fst01172896 
650 7 |a Machine learning.  |2 local 
650 7 |a Wavelets (Mathematics)  |2 local 
650 7 |a Data encryption (Computer science)  |2 local 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Schaathun, Hans Georg.  |t Machine learning in image steganalysis.  |d Hoboken : Wiley, 2012  |z 9780470663059  |w (DLC) 2012016642 
856 4 0 |u https://doi.org/10.1002/9781118437957  |z Full Text via HEAL-Link 
994 |a 92  |b DG1 

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