• Yogesh Singh
• Suraj Sonawane
• Pratik Bansode
• Swapnil Wankhede
• Kanchan Jadhav

Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF×IDF model are combined in the index construction and query generation. we investigate the Multi-keyword top-k search problem for big data encryption against privacy breaches, and attempt to identify an efficient and secure solution to this problem. Specifically, for the privacy concern of query data, we construct a special tree-based index structure and design a random traversal algorithm, which makes even the same query to produce different visiting paths on the index, and can also maintain the accuracy of queries unchanged under stronger privacy.

Cloud computing, privacy preserving, data encryption, multi-keyword top-k search.

"Survey on Multi-keyword Ranked Search Scheme over Encrypted Cloud Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.701-704, June 2019, Available :http://www.jetir.org/papers/JETIR1908103.pdf

"Survey on Multi-keyword Ranked Search Scheme over Encrypted Cloud Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp701-704, June 2019, Available at : http://www.jetir.org/papers/JETIR1908103.pdf