Assorted Word Search on Cloud Data With Suppo...

Assorted Word Search on Cloud Data With Support For Active Operations

Author Name : T. Aparna, K. Shishira Reddy

ABSTRACT

Cloud computing is a prominent technique in the last year to store personal information for economic savings and management flexibility. The sensitive data, however, must be encrypted for privacy consideration before being outsourced to the cloud servers, which makes it difficult to search with plaintext keywords for some traditional use functions. A multi-keyword search system is utilised for solving the problem over encrypted cloud data that efficiently supports dynamic operations. The vector space model, together with the TF×DF and cosine similarity measure, is used by this approach to produce the multi keyword search classification. Traditional solutions must nonetheless be subject to significant calculation expenses. This technique introduces the Bloom Filter to create a search index tree to accomplish the sub-linear search time. In addition, this scheme can effectively and correctly handle the dynamic operation on the Bloom filter property, meaning that the cost of upgrading this scheme is cheaper than other systems. The fundamental system that is safe under the known ciphertext model is initially given. The improved method is afterwards submitted to ensure security also under the known backdrop model. The real-world data set trials indicate the excellent performance of our proposed methods.

Keywords: Cloud computing, Dynamic search encryption, Bloomfilter, Trapdoor.