Privacy protection of data with safe watermark extraction using data hiding and sparse sampling

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-35 Number-3
Year of Publication : 2016
Authors : H.N.RAnotkar, M.S.Deshmukh


H.N.RAnotkar, M.S.Deshmukh "Privacy protection of data with safe watermark extraction using data hiding and sparse sampling". International Journal of Computer Trends and Technology (IJCTT) V35(3):157-163, May 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Data privacy protection is a very important aspect in this cloud computing era. Also,it becomes very easy for the user to collect the data from the various sources without worrying about the copyright information as a result of the rapid growth of the Internet and social networks. Hence adding certain ownership information into the data(image) becoming necessary for the data owners now-a-days. To do so watermarking technique is used. This restricts the reuse and republishing of the data to authenticated users only. In this paper, we propose a system that enhances privacy protection of image data as well as the safe watermark extraction in a simultaneous manner by using sparse sampling, data hiding and secure computation. We provide enhancement in the privacy of the image data by applying layer of encryption over the data using data hiding technique in which we add identity bits to the image data before it is passed to the sparse sampling transformation. This will make the proposed architecture tolerable against the semihonest security assumption required for the simultaneous operation in sparse sampling domain and without these bits an attacker could not get the original data. In SS transformation we deal with DWT coefficients of image.

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Watermark Embedding, Watermark extraction, data hiding sparse sampling, secure computation, DWT.