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

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Cloud computing provides individuals and enterprises massive computing power and scalable storage capacities to support a variety of big data applications in domains like health care and scientific research, therefore more and more data owners are involved to outsource their data on cloud servers for great convenience in data management and mining. 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. We investigate the Multi-keyword top-k search problem for 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 database query search method.

Multi-Keyword Ranked Search, Encrypted Cloud Data, Public Key Encryption, top-k search.

"Privacy-Preserving Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.624-631, June-2020, Available :http://www.jetir.org/papers/JETIR2006085.pdf

"Privacy-Preserving 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.7, Issue 6, page no. pp624-631, June-2020, Available at : http://www.jetir.org/papers/JETIR2006085.pdf