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Confidential data should be encrypted in out-souring services in cloud computing environment in order to minimise the risk of data revealing. There have been many schemes, classified as searchable encryption, which provides capabilities to securely search over encrypted data through keywords without decryption key. In
large number of comparisons and time to search the desired documents. In this paper, we propose a cluster based privacy preserving multi-keyword search scheme over encrypted cloud data. The proposed search scheme retains the security requirements as proposed in the existing approaches in literature but provides results
. Here we consider that a large number of data users and document files in cloud and there must be a search service that allows multiple keyword queries and generates ranked results of retrieved files. In this paper, we propose a multi-keyword search scheme that not only enable document keyword search but also supports
Using cloud-based storage service, users can remotely store their data to clouds but also enjoy the high quality data retrieval services, without the tedious and cumbersome local data storage and maintenance. However, the sole storage service cannot satisfy all desirable requirements of users. Over the last decade, privacy-preserving search over encrypted cloud data has been a meaningful and practical...
In this paper, we consider the problem of securing mobile-cloud storage services. We design and develop a novel and secure searchable encryption scheme for mobile devices. In the proposed algorithm, a content based index is constructed and a locality sensitive hashing is used to allow the user to store his files on the cloud in a secure way and then perform a secure query and a fuzzy search. Moreover,...
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