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Title: Adaptive Compressed Data Hiding Approach for True Color Image Using Randomization Techniques
Researcher: Prateek Mishra
Guide(s): Shachi Awasthi
University: Jayoti Vidyapeeth Women s University
Completed Date: 
Abstract: There has been considerable research in data hiding and cryptography in the newlinelast decade. The emergence of the digital era, the spreading of computers and the newlineextensive usage of the internet has made digital multimedia a host for authentic and newlinesecure data transfer. Data embedding and extraction in digital multimedia finds use newlinein applications ranging from digital watermarking, secret communications, copyright newlineprotection to content authentication. Today both secure/secret communication newline(through data hiding) and the detection of such communication (steganalysis) are of newlineclassy importance. Recently, many new algorithms have been proposed in the fields newlineof steganography and visual cryptography with the aim of improving efficiency, newlinesecurity, reliability, enhance data hiding capacity. Steganography detection is a newlinetechnique to tell whether there are secret messages hidden in images. The performance newlineof a steganalysis system is mainly obtained by the method of feature extraction and newlinethe architecture selection of the classifier. newlineIn today s scenario of internet world, hiding data with security is the highly newlinechallenging and desirable task. There are large numbers of techniques available newlinewhich are capable of hiding data in cover media. The purpose of this research work newlineis to develop a novel, secure and high capacity data hiding technique in 24 bit true newlinecolor image. This novel approach uses pixels of 24 bit true color image to hide newlinesecret message. The proposed approach is adaptive and according to size of data it newlinedecides best possible technique to hide data in true color image. The developed newlinetechnique applies multiple security mechanisms using randomization and data hiding newlinemethods. The major focus in this proposed work is to hide more data with higher newlinesecurity in cover media. In this approach the pixels that are going to contain the data newlineare selected randomly based on the random key. At the receiving end it is difficult to newlineretrieve secret data without secret key. The main advantages of proposed approach newlineare: First it is adaptive
Appears in Departments:Department of Electrical Electronics and Communication Engineering

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abbreviations.pdfAttached File35.54 kBAdobe PDFView/Open
abstract.pdf35.64 kBAdobe PDFView/Open
acknowledgement.pdf45.3 kBAdobe PDFView/Open
appendix.pdf14.32 MBAdobe PDFView/Open
bibliography.pdf62.68 kBAdobe PDFView/Open
certificate.pdf99.06 kBAdobe PDFView/Open
chap_1.pdf1.39 MBAdobe PDFView/Open
chap_2.pdf476.5 kBAdobe PDFView/Open
chap_4.pdf2.94 MBAdobe PDFView/Open
chap_5.pdf58.8 kBAdobe PDFView/Open
contents.pdf66.29 kBAdobe PDFView/Open
prateekchap_3.pdf321.05 kBAdobe PDFView/Open
title page.pdf151.01 kBAdobe PDFView/Open

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