As the volume of data in the data center is experiencing a tremendous growth, so vendor of data prefers 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, least hash subtree is used. The proposed method has several advantages over traditional method in document’s retrieval and rank privacy.
Ms. Shumaila Tajreen and Dr. G.S.S Rao (2017). Hierarchical Clustering Over Rank Keyword Search with Secure and Competent Outlook . International Journal of Computer Engineering In Research Trends, 4(10), 388-391. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I1003.pdf
: Cloud Computing, Hierarchical Clustering, Security, Ciphertext search, multi keyword search, ranked search.
. Dynamic Multi-Keyword Ranked Searchable Security Algorithm Using CRSA and B-Tree Prasanna B T#1, C B Akki*2 #Department of ISE, EPCET Associate Professor, Bengaluru, INDIA-560049 *Department of ISE, SJBIT Professor, Bengaluru, INDIA-560060
. Reusability of Search Index over Encrypted Cloud Data on Dynamic update Kavitha R1, R J Poovaraghan2 Student, M.Tech, SRM University, Chennai, India1 Assistant Professor (OG), Department of Computer Science, SRM University, Chennai, India2.
. Dynamic Multi-keyword Top-k Ranked Search over Encrypted Cloud Data Xingming Sun, Xinhui Wang, Zhihua Xia, Zhangjie Fu and Tao Li Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044.
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