Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/222118
Title: Data hiding using roburst image based steganography techniques
Researcher: Arshiya Sajid Ansari
Guide(s): Mohammad Tanvir Parvez
Keywords: 
University: Noida International University
Completed Date: 
Abstract: newline Steganography is a technique to hide any information in a cover media in such a way newlinethat nobody can even suspect it. Steganography is a confidential transmission way to newlinetransmit secret data over the channel. In this thesis, we present a new Generic Image newlineBased Steganography algorithm that will work for images of different formats such newlineas BMP, JPEG, PNG and TIFF. Our algorithm first reads any one given types of newlinecover image. It adaptively determines how many numbers of bits of secret message newlineto be stored in selected channel based on a generic variable bits adaptive partition newlinescheme. This variable bits adaptive partition scheme is based on the range of colour newlineintensity value or DCT coefficient value. This new approach spread the secret newlinemessage over the whole cover image and also reduces distortion. This method newlineprovides high capacity and security as compared to all previous work.
Pagination: 
URI: http://hdl.handle.net/10603/222118
Appears in Departments:Department of Computer Science and Engineering / IT

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01_title.pdfAttached File81.05 kBAdobe PDFView/Open
02_certificate.pdf88.06 kBAdobe PDFView/Open
03_contents.pdf650.99 kBAdobe PDFView/Open
04_list of tables.pdf423.96 kBAdobe PDFView/Open
05_list of figures.pdf385.94 kBAdobe PDFView/Open
06_acknowledgement.pdf175.79 kBAdobe PDFView/Open
07_chapter 1.pdf1.36 MBAdobe PDFView/Open
08_chapter 2.pdf3.33 MBAdobe PDFView/Open
09_chapter 3.pdf2.09 MBAdobe PDFView/Open
10_chapter 4.pdf7.4 MBAdobe PDFView/Open
11_chapter 5.pdf3.59 MBAdobe PDFView/Open
12_chapter 6.pdf368.61 kBAdobe PDFView/Open
13_chapter 7.pdf538.81 kBAdobe PDFView/Open
14_appendix.pdf556.94 kBAdobe PDFView/Open
15_references.pdf2.29 MBAdobe PDFView/Open
16_publications.pdf2.41 MBAdobe PDFView/Open


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