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Multi-keyword Fuzzy Retrieval Strategy For Encrypting Cloud Data

Posted on:2018-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:S P HuFull Text:PDF
GTID:2348330536452501Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the popularity of cloud computing,more and more data gradually transferred to the cloud.Data storage to the cloud computing server greatly reduces the user or enterprise storage management burden,so that users can easily access the data of cloud computing server.In the cloud storage model,the data needs to be fully handed over to cloud computing service providers for storage and management.but the cloud computing server provider itself is not entirely reliable,Because of the security considerations,cloud storage needs to be more widely used,data security has become a current urgent need to solve a problem.Data encryption is an effective means to ensure the security of cloud data.But the encrypted data retrieval is very different from ordinary plaintext retrieval.The traditional method of plaintext retrieval is no longer applicable in ciphertext retrieval.In the previous fuzzy search strategy,although fuzzy search can be realized by constructing fuzzy key set,the fuzzy keyword set will increase exponentially when the keyword set is increasing,so the retrieval efficiency will difficult to make people satisfied.Based on the existing fuzzy data search scheme,we propose our own scheme,in which the original fuzzy keyword set is discarded,and the keyword dictionary is constructed locally,and the keywords in the search request are matched with the keywords in the keyword dictionary.This scheme improve the retrieval efficiency.At the same time,there are more and more mixed data between Chinese and English,while the existing fuzzy retrieval scheme only supports single language retrieval,and the Chinese and English keywords search are supported by Chinese-English conversion table.Improving the user's search experience greatly,meanwhile protecting the user's privacy.In this paper,the specific research work is as follows:(1)Based on the existing encryption search model,this paper proposes its own fuzzy search pattern,that is,abandoning the original fuzzy keyword set,converting all keywords to English keywords,and converting the Chinese keywords into Pinyin to form a keyword dictionary,then the keyword dictionary stored locally.In the search process,we do keyword conversion and Chinese pinyin conversion,and then with the local keyword dictionary to do the editing distance replacement,so as to successfully build the fuzzy search mode in English and Chinese.(2)In the search mode proposed above,according to the corresponding relationship between Chinese and English,a number of Chinese words corresponding to the same English word characteristics,and further proposed the Chinese synonyms search mode.For the synonymy Chinese vocabulary,can always search the exact same article,to achieve the fuzzy search of English data,and also supports the Chinese synonym retrieval.(3)Finally,we test the feasibility,security and efficiency of the proposed search model.A large number of Chinese and English file data were selected as the test data,the final results to achieve the desired requirements,efficiency has improved,the recall rate was significant.
Keywords/Search Tags:cloud computing, privacy-preserving search, searchable encryption, fuzzy search, keyword dictionary
PDF Full Text Request
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