Abstract

A cloud system is difficult to synchronize login and authentication data between external clouds and internal systems without exposing internal security data. The cloud technologies are rapidly being adopted throughout the Information Technology (IT) due to their various attractive properties. In spite of their spread, they have raised a range of significant security and privacy concerns which interrupt their adoption in sensitive environments. In existing scheme makes a good trade off between the functionality and the efficiency. To better express the relevance between the query and files, we introduce the TF-IDF rule into our design. Moreover, existing scheme supports both dataset and keywords updates by using the sub-matrix technique. The existing work first gives a basic concept for the central keyword semantic extension ranked scheme, and then proposes two secure searchable encryption schemes to meet different privacy requirements under two different threat models improve. This project presents a comprehensive cloud design which provides an effective and secure cloud computing services on keyword search devices. This proposed system provides fuzzy authorization technique to ensure the correctness of cost and the user level for that fuzzy technique is used. This proposed technique includes if the user level to know the details about the cost that is using the hint given. If the user level is know about the original cost when the re-enter. To avoid this type of the situation user level fuzzy authorization uses the technique if the entered pay cost partially matches the user can get the file search and stop retrying the username and the password. The original data search is taken after TPA verified is given by the real user.

Paper Details