Multi Key Word Search and Trusted Auditing System to Verify the Integrity of Outsourced Data in Cloud Computing
J. Jospin Jeya, E. Kannan · International Review on Computers and Software (IRECOS) · 2014
Cloud computing provide the owner to store their data into the cloud servers and data consumers can access the data from cloud by on demand. By outsourcing the data, the owners can no need to maintain the data locally. Due to this, the owner requires the auditing service to verify the correctness of the data stored in the cloud servers. To reduce the communication cost the server should return only the relevance files while the user request for the data files. Sharing relevance data and checking the integrity of the outsourced data is still a challenging issue. Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to certain relevance criteria .Our proposed system is developed based on the fragment structure , hash index hierarchy and top n query algorithm to retrieve the n number of best matched results for the given query. In addition we provide a load balancing scheme to process the jobs submitted to the server. Our experimental results prove that the proposed system is highly efficient and secured.