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Abstract

Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF x IDF model are combined in the index construction and query generation. We construct a special tree-based index structure and propose a "Greedy Depth-first Search" algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results. Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.

Authors

Xia, Zhihua;  Wang, Xinhui;  Sun, Xingming;  Wang, Qian

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  • Abstract, title and references ● Is the aim clear? Yes ● Is it clear what the study found and how they did it? Yes ● Is the title informative and relevant? Yes ● Are the references: ● Relevant? Yes ● Recent? Yes ● Referenced correctly? Yes ● Are appropriate key studies included? Yes Introduction/ background ● Is it clear what is already known about this topic? Yes ● Is the research question clearly outlined? Yes ● Is the research question justified given what is already known about the topic? Yes Methods ● Is the process of subject selection clear? Yes ● Are the variables defined and measured appropriately? Yes ● Are the study methods valid and reliable? To some Extent ● Is there enough detail in order to replicate the study? Yes Results ● Is the data presented in an appropriate way? Yes ● Tables and figures relevant and clearly presented? Yes ● Appropriate units, rounding, and number of decimals? Yes ● Titles, columns, and rows labelled correctly and clearly? Yes ● Categories grouped appropriately? Yes ● Does the text in the results add to the data or is it repetitive? repetitive ● Are you clear about what is a statistically significant result? Yes ● Are you clear about what is a practically meaningful result? Yes Discussion and Conclusions ● Are the results discussed from multiple angles and placed into context without being over interpreted? Yes ● Do the conclusions answer the aims of the study? To some extent ● Are the conclusions supported by references or results? Yes ● Are the limitations of the study fatal or are they opportunities to inform future research? Needs Future Research.

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