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In this paper we present an efficient encryption system based on Compressive Sensing, without the additional computational cost of a separate encryption protocol, when applied to indoor location estimation problems. The breakthrough of the method is the use of the weakly encrypted measurement matrices which are generated when solving the optimization problem to localize the source. It must be noted...
In this paper, we present SecSIFT, a high-performance cloud based image feature detection system for performing Scalar Invariant Feature Transform (SIFT) over private image data without compromising the privacy. In contrast to previous works, we outsource the computation of image feature detection to a set of independent, co-operative cloud servers, and keep the outsourced computation procedures as...
Social network companies maintain complete visibility and ownership of the data they store. However users should be able to maintain full control over their own content. For this purpose, we propose WARP, an architecture based upon Information-Centric Networking (ICN) designs, which expands the scope of the ICN architecture beyond media distribution, to provide data control in social networks. The...
In order to meet the security requirement, most data are stored in cloud as cipher-texts. Hence, a cipher-text based access control mechanism is needed for data sharing in cloud. A popular solution is to use the attribute-based encryption. However, it is not suitable for mobile cloud due to the heavy computation overhead caused by bilinear pairing, which also makes it difficult to change the access...
Conditional PRE (CPRE) is a novel public key primitive which enables the group sharing of confidential data without revealing its plaintext or decryption key to outside the group member. Previously, several efforts are made to facilitate CPRE in group data sharing in cloud environment. The main drawback of the state-of-art CPRE schemes for this purpose is that whenever the group member changes, the...
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