A Hybrid Concept of Cryptography and Dual Watermarking (LSB_DCT) for Data Security

A Hybrid Concept of Cryptography and Dual Watermarking (LSB_DCT) for Data Security

Ranjeet Kumar Singh (National Institute of Technology, Department of Computer Applications, Jamshedpur, India) and Dilip Kumar Shaw (National Institute of Technology, Department of Computer Applications, Jamshedpur, India)
DOI: 10.4018/978-1-7998-5351-0.ch049
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Abstract

Now a days, in communication technology safety of digital data in the form of text, image, and video, audio is a biggest problem. With the rapid development of the network multimedia systems, security is the biggest issue. Digital watermarking is one of the solutions to these problems. It hides some secret data into the original image and this information is use for image authentication and security. This paper Focus an application using Hybrid approach of Cryptography technique and dual watermarking for the purpose of Providing highly security and authentication of digital data. This paper use cryptography and QR Code in combined approach of LSB and DCT Digital image water marking technique. The Experimental results are given in the form of table and graph. This algorithm provides more security and data authentication compare to other image data security approach.
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Introduction

Now a days, digital media is extremely used through the internet, and the requirement for copyright protection of hypermedia products has emerged. Research has been concentrated to solve a problem of copyright protection and authentication of digital data. In digital data, there is no major difference between the origin data and its copy, so it is very difficult task to identify the original data. Hence, the security of the intellectual property is necessary and important for the society (Sridhar et al., 2010). There are many techniques available for copy right protection. Watermarking is one of the popular techniques for protection of text, image video, audio data. Watermarking is a technique which hides information into original data (Karimi et al., 2013)

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