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About Improved Method of Cryptography for Privacy Assured Outsourcing of Image Reconstruction Service in Cloud
To address various challenges related to large scale image data generation over clouds, recently we have studied the new approach called outsourced image recovery service (OIRS) architecture, which exploits different domain technologies and takes efficiency, security and design complexity into consideration from the very beginning of the service flow. We design OIRS using the compressed sensing (CS) framework, which is well known for its simplicity of unifying the traditional sampling and compression for image acquisition. A data owner only needs to outsource compressed image samples to cloud for reduced storage overhead. Besides, in OIRS, by using cloud data users can securely reconstruct images without revealing information from either the underlying image content or the compressed image samples. We start with the OIRS design for sparse data, which is the typical application scenario for compressed sensing, and then its natural extension is shown to the general data for meaningful tradeoffs between accuracy and efficiency. We analyze the privacy protection of OIRS and conduct extensive experiments to demonstrate the system effectiveness and efficiency. However this approach also needs to be improve in terms of time, therefore in this, we are presenting the new cryptography methods with OIRS and hardware built-in system with the aim of improving the speed of overall architecture.
Detailed Information
| Author: | ['Editor IJRITCC'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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