Cloud computing is an emerging technology in the present scenario which enhances enormous data storage and its processing. Various issues are present in maintaining the cloud environment. Some among them include data privacy and data confidentiality faced by the data owners while storing their private data onto the cloud. The domain of Data mining mainly helps in efficient retrieval of the content stored in the public space using various retrieval methods. Generally, in cloud, the data privacy is provided by outsourcing the files in encrypted form before being uploaded. This creates more demand in server side data utilization i.e., searching on encrypted files from the cloud. As of now the retrieval is made productive through keyword based search. Most recent works focus on the single keyword provided as queries in the search process. In the keyword ranked search, it had been difficult to store when the number of keywords are more. In the work carried out below, an efficient and reliable multi-keyword search method called K-Gram search is developed. Using K-gram it is possible to retrieve more than one file i.e., related files to the keyword searched, productively relative to misspelled keywords too. In addition the user behavior is too monitored from the start for enhancing keyword search and it also ensures proper confidentiality via access confirmation through secret keys. The system thus tends to provide more chances for tackling data privacy and confidentiality issues. It can also achieve sub linear search time thereby increasing the query processing and accuracy in keyword search.
Cloud computing; Data mining; Multi-keyword search; K gram; Data privacy; Sub-linear search time
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