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An Efficient Privacy-Preserving Ranked Keyword Search Method
Prof. Supriya Bhosale, Akshay Khirolkar, Rohit Gaikwad, Bhushan Mirase, Vinod Bakse
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Abstract: As the volume of data in data center is experiencing a tremendous growth, so owner of data prefer to outsource sensitive and important documents for the purpose of privacy conserving .The documents are stored in encrypted format so it is essential to develop efficient search cipher text technique. In the process of encryption relationship between document is concealed which leads to perform deterioration. In this paper a quality hierarchical clustering (QHC) method is proposed to support searching mechanism and to meet fast searching within cloud environment. In this paper multi keyword ranked search hierarchical clustering index (MRSE-HCI) architecture is used. For search result verification, minimum hash sub tree is used. The proposed method has several advantages over traditional method in documentβs retrieval and rank privacy.
Keywords: Cloud Computing, Hierarchical Clustering, Security, Cipher text search, multi keyword search, ranked search.
Keywords: Cloud Computing, Hierarchical Clustering, Security, Cipher text search, multi keyword search, ranked search.
How to Cite:
[1] Prof. Supriya Bhosale, Akshay Khirolkar, Rohit Gaikwad, Bhushan Mirase, Vinod Bakse, βAn Efficient Privacy-Preserving Ranked Keyword Search Method,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6295
