A Ranked Index-Tree Multi-keyword Search Method for Encoded Cloud Data

Abstract: Cloud computing is becoming increasingly famous now a days because of its advantages like adaptability, accessibility, and on-demand access for network. These tempting qualities of cloud computing making organizations and people to outsource their sensitive and huge amount information to the cloud instead of maintaining external costly storage disks. In spite of the fact that there are many advantages there is always been security issue when out sourcing data in the form of plain text. This security issue actuates information proprietors to encode information and outsource to the cloud. By encoding information enhances the information security however the information effectiveness is reduced because of the fact that seeking on scrambled information is troublesome. To overcome from this issue, proposing a rated tree structured index-tree and allowing system to follow the Greedy depth first search over index tree for fetching files which are matched with given multi-keyword input query.

Keywords: Multi-keyword, Term frequency, Inverse document frequency.