A survey on different techniques for encrypted cloud data
Payal Kale, Rashmi R. Welekar · 2017
With the emergence of cloud computing, most of the data owners are outsourcing their corpus data from local sites to the commercial public cloud for great flexibility and economic savings. But tactful data has to be encrypted before outsourcing, for preserving data privacy and also encrypted data gives an effective data utilization services which is a challenging task. However, traditional searchable encryption techniques uses Boolean search to search data via keywords, but this technique not satisfied the effective data utilization for multi user data need and also to retrieved massive data files from cloud. This problem is solving by using ranked keyword search over the encrypted cloud data, which improves system usability and file retrieval accuracy. Further to protect the score information, one-to-many order-preserving mapping techniques has developed and explored the relevance score, from information retrieval to build a secure searchable index. Also Score dynamics concept is explored for to make updation in encrypted cloud files. In this paper to improve the efficiency and security we proposed a system where we will be adding a physical layer security component, which will help the system to be more secure and less vulnerable to attacks.