Privacy Enhancement of data with safe watermark extraction using signal processing

H.N.Ranotkar, Prof. M.S.Deshmukh

ABSTRACT In this era of cloud computing, protecting the data privacy is an important consideration. Also, due to the rapid growth of the Internet and social networks, a user can easily gather large amount of data from different sources without worrying about its copyright information. So it becomes essential for the data owner to add their ownership information into the data which can be done by using watermark technique. Due to this, only authenticated users can reuse and republish the data. In this paper, we propose an architecture that provides privacy protection of image data as well as the secure watermark extraction in a simultaneous manner by using sparse sampling and secure computation. This paper enhances the privacy of data by applying layer of encryption over the data using data hiding technique before it is passed to the sparse sampling transformation. This will make the proposed architecture tolerable against the semi-honest security assumption required for the simultaneous operation in sparse sampling domain. At the side of reconstructing an image, we proposed to yield with better quality and robustness than the existing system. Keywords:- sparse sampling, privacy protection, data hiding, DWT, safe watermark extraction, secure computation

Title:	Privacy Enhancement of data with safe watermark extraction using signal processing
Author Name:	H.N.Ranotkar, Prof. M.S.Deshmukh
Abstract:	ABSTRACT In this era of cloud computing, protecting the data privacy is an important consideration. Also, due to the rapid growth of the Internet and social networks, a user can easily gather large amount of data from different sources without worrying about its copyright information. So it becomes essential for the data owner to add their ownership information into the data which can be done by using watermark technique. Due to this, only authenticated users can reuse and republish the data. In this paper, we propose an architecture that provides privacy protection of image data as well as the secure watermark extraction in a simultaneous manner by using sparse sampling and secure computation. This paper enhances the privacy of data by applying layer of encryption over the data using data hiding technique before it is passed to the sparse sampling transformation. This will make the proposed architecture tolerable against the semi-honest security assumption required for the simultaneous operation in sparse sampling domain. At the side of reconstructing an image, we proposed to yield with better quality and robustness than the existing system. Keywords:- sparse sampling, privacy protection, data hiding, DWT, safe watermark extraction, secure computation
Cite this article:	H.N.Ranotkar, Prof. M.S.Deshmukh , " Privacy Enhancement of data with safe watermark extraction using signal processing " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 362-366 , ISSN 2319 - 4847.
Full Text [PDF] Home