FUZZY KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD COMPUTING

With the evolution in Cloud Computing more and more sensitive data is being incorporated into the cloud. To ensure security and privacy these data are first encrypted before being uploaded onto the cloud servers thus making search a complicated task. Although in traditional cloud computing encryption searching schemes allows user to search encrypted data through keywords securely. These techniques employed exact keyword search and will fail if there are any morphological variants or spelling errors. This leads to low in efficiency and also affects system usability very badly. Fuzzy keyword search increases the system usability by allowing matching the exact or closet match text to the stored keywords and retrieving the approximate closest results. We shall be using edit distance to quantify keywords. We ensure the privacy of the data against unauthenticated users by encrypting the data using AES encryption before uploading to the cloud servers. We tend to resolve this problem by using a cloud server and employing fuzzy keyword search based on N grams. Thus efficiency of our proposed system would be demonstrated through experimental results.