Cluster Based Aggregate Key and Fine-Grained Index Searching over Encrypted Cloud Data

An efficient search technique is required to retrieve data from cloud server as data owner outsourced their data in encrypted form. Many types of encryption techniques used to perform encryption on outsourced data. Such data encryption degrades the performance of document searching over cloud. Also there is dynamic growth in document outsourcing which makes designing of ciphertext scheme challenging. Therefore in proposed approach hierarchical clustering is applied on outsourced document index which support more search semantics and also to meet the demand for fast ciphertext search within a big data environment. Proposed method preserves the relationships between original and encrypted documents. Proposed MRSE-HCI architecture adapts requirements of data explosion, online information retrieval a. As a part of contribution, aggregate key searchable encryption on cloud stored data as well as complex logical search is provided by in proposed work.