Paper Details

The huge amount of data outsourced every day by individuals or each enterprises. When user need to storetheir data in such a way that it can be accessed uninterruptedly, then the cloud comes into picture to store the data withbetter flexibility and cost saving. As the data might be confidential or sensitive. Considering the privacy searchableencryption can be used. Although traditional searchable encryption schemes allow a user to securely search overencrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keywordsearch. That is, there is no tolerance of minor typos and format inconsistencies which, on the other hand, are typical usersearching behavior and happen very frequently. This significant drawback makes existing techniques unsuitable in CloudComputing as it greatly affects system usability, rendering user searching experiences very frustrating and systemefficacy very low. Fuzzy keyword search greatly enhances system usability by returning the matching files when users’searching inputs exactly match the predefined keywords or the closest possible matching files based on keywordsimilarity semantics, when exact match fails. Calculate edit distance to quantify keywords similarity and develop anadvanced technique on constructing fuzzy keyword sets, which greatly reduces the storage and representation overheads

Sayali Sabale, Mrs. Shanthi. K. Guru, “Fuzzy Keyword Search for MultipleData Owners in Cloud Computing”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 6, pp. 875-880, June 2017.