Enhanced Dynamic Multi-Keyword Rank Scheme using top Key over Encrypted Cloud Data

The cloud computing platform gives people the ability to share resources, services and information among people from all over the world. In the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data into cloud servers for great convenience and reduced costs in data management. The sensitive data should before the outsourcing of data protection requirements, data usage obsoletes such as keyword-based document retrieval is encrypted. Improved dynamic multi-keyword ranking search scheme with top key via encrypted cloud data that simultaneously supports dynamic update operations as deleting and inserting documents. Greedy depth first search algorithm is provided for efficiency multi keywords on place and index structure. The safe kNN algorithm is used to encrypt the index and query vectors and ensure precise meaning score calculation between encrypted index and query vectors. A secure multi-keyword search is controlled via encrypted cloud data that simultaneously supports dynamic update operations, such as deleting and inserting documents. Here, focus on the data security problems with extended searchable symmetric encryption. For the first time formulate the issue of privacy in terms of relevance and similarity scheme robustness. The observation of these server-side rankings inevitably leak based order-preserving encryption protection. In order to eliminate the leak, we propose to support the top-k Multi-full-text search. Thorough security and performance analysis show that the proposed scheme guarantees a high safety and practicality and dynamic update operations, such as deleting and inserting documents. KeywordAdvanced Symmetric Encryption Certified Authority,Cloud data, Data security, Keyword Based Retrieval, Multi keyword Retrieval.