EFURMS: An Efficient Scheme for File Upload and Ranked Multi-Keyword Search over Encrypted Data in Cloud
Bhavya M1, Thriveni J2, Venugopal K R3

1Bhavya M*, Department of Computer Science and Engineering University, Visvesvaraya College of Engineering Bengaluru, India.
2Thriveni J, Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru, India.
3Venugopal K R, Vice Chancellor Banglore University, Bengaluru, India.

Manuscript received on January 08, 2021. | Revised Manuscript received on January 15, 2021. | Manuscript published on February 28, 2021. | PP: 224-231 | Volume-10 Issue-4, February 2021 | Retrieval Number: 100.1/ijitee.D84640210421| DOI: 10.35940/ijitee.D8464.0210421
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cloud based services provide scalable storage capacities and enormous computing capability to enterprises and individuals to support big data operations in different sectors like banking, scientific research and health care. Therefore many data owners are interested to outsource their data to cloud storage servers due to their huge advantage in data processing. However, as the banking and health records usually contain sensitive data, there are privacy concerns if the data gets leaked to un-trusted third parties in cloud storage. To protect data from leakage, the widely used technique is to encrypt the data before uploading into cloud storage servers. The traditional methods implemented by many authors consumes more time to outsource the data and searching for a document is also time consuming. Sometimes there may be chances of data leakage due to insufficient security. To resolve these issues, in the current VP Search(VPS) scheme is implemented, which provides features like verifiability of search results and privacy preservation. With its features the current system consumes more time for file uploading and index generation, which slows down the searching process. In the existing VPS scheme time minimization to efficiently search for a particular document is a challenging task on the cloud. To resolve all the above drawbacks, we have designed an index generation scheme using a tree structure along with a search algorithm using Greedy Depth-first technique, that reduces the time for uploading files and file searching time. The newly implemented scheme minimizes the time required to form the index tree file for set of files in the document which are to be uploaded and helps in storing the files in a index tree format. These techniques result in reducing the document upload time and speeding up the process of accessing data efficiently using multi-keyword search with top-‘K’ value. 
Keywords: Cloud Data Security Scheme, Cloud storage, Efficiency, Ranked Multi-keyword Search and Tree Based Indexing.