Vol. 2, Issue 4 (2015)
Fault tolerance management for document searching on cloud
Author(s): Prashant Salunkhe, Pratik Walkhade, Gaurav Sawant
Abstract: Cloud Computing is receiving a great deal of attention, both in publications & among users, from individuals at home to the government. Data can be outsourced from local sites to public cloud by data owners. Although cloud computing having benefits, there are privacy & security concerns too. For this, sensitive data have to be encrypted before outsourcing, which will be beneficial to the data owners & data. Users can securely search over encrypted data through keywords, but these techniques support only Boolean search and even there is no such guarantee that we can get relevant data. Taking into account that a large number of data users, data owners in cloud it is necessary that search system will allow multi-keyword search and provide the result similarity ranking to get the effective data that we need. In this paper, we propose the problem of fault tolerance management for document searching cloud. In document search, it will return the result by matching files in ranked order regarding to certain relevance criteria, and in Fault tolerance we will provide high security to data. We first propose a document searching and then we will improve it, to meet different privacy concerns. Also, we propose our system will have fault tolerance management that will improve the security of the system. Fault tolerance will manage the things related to security concerns.