A Privacy-Preserved Third Party Image Reconstruction System on Cloud with Storage Cost Efficiency

  Ms. Nitanjali Shinde,  Prof. Gaikwad V.S

Todays image capturing innovations are delivering High Definitional-scale pictures which are likewise heavier on memory, which has incited numerous clients into distributed storage. Cloud computing is an service oriented technology. Cloud provides Data Storage as a Service (Dsaas). In conjunction with such information blast is that the aggressive pattern to outsource the image management systems to the cloud for its rich registering assets and edges. But the cloud is an open environment operated by external third parties so the security becomes a major concern. Since the image data sets are intended to be shared only to particular group of users the accountability of the image data is a high priority issue. To address the challenges with the accountability we propose an OIRS system. OIRS is designed using the compressive sensing technology. Data owners only need to upload compressed image samples to OIRS on cloud for reduced storage cost. In OIRS, data users can tackle the cloud to securely reconstruct images without leaking vital information from either the compressed image samples or the underlying image content.

Keywords- Compressed sensing; security and privacy; cloud computing; image reconstruction.

Unique Identification Number - IJEDR1503067
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | August 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ms. Nitanjali Shinde,  Prof. Gaikwad V.S,   "A Privacy-Preserved Third Party Image Reconstruction System on Cloud with Storage Cost Efficiency ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., August 2015, Available at :http://www.ijedr.org/papers/IJEDR1503067.pdf