Authors : Payal V. Kale and Rashmi Welekar
Abstract: 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 are a challenging task. However, traditional searchable encryption techniques use 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 the 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. In this study, we used double indexing concept to improve retrieval speed of search request. Also, score dynamics concept is explored for to make an update in encrypted cloud files. In this study 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.
Payal V. Kale and Rashmi Welekar, 2018. Secure Ranked Keyword Search Algorithm for Encrypted Cloud Data using Double Indexing Technique. Journal of Engineering and Applied Sciences, 13: 32-37.