Paper Title
Enhancing Search Efficiency Over Encrypted Data In Cloud

Abstract
In cloud computing, users can outsource their data to cloud servers using Internet. Much of the data stored in cloud is highly sensitive, for example, personal details. Providing security and privacy are thus major challenges in cloud computing. The user should authenticate oneself before initiating any transaction, and on the other hand, he/she must be ensured that the cloud does not tamper with the data that is outsourced. In order to search in cloud, some requirements is needed. Multi-keyword search is necessary because single-keyword search returns inaccurate search results. Also, the search results should be ranked according to the relevance of search request of documents from user. Our paper focuses on enhancing search efficiency on encrypted data through use of Natural Language Processing technique and POS tagger which enables multi keyword ranked search experience for user Keywords— Blind Storage, Natural Language Processing, Text Mining, Access Control.