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A multi-keyword expansion retrieval method based on a ciphertext

A multi-keyword, keyword technology, applied in the direction of unstructured text data retrieval, text database index, text database query, etc., can solve the problems of single query results, low intelligence, low accuracy, etc., to expand search conditions , Improve the user experience and reduce the effect of limitations

Active Publication Date: 2019-06-18
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a multi-keyword extended retrieval method based on ciphertext, which can solve the problem of low efficiency and low accuracy in fuzzy multi-keyword sorting and retrieval, and the query Problems with single result and low intelligence

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  • A multi-keyword expansion retrieval method based on a ciphertext
  • A multi-keyword expansion retrieval method based on a ciphertext
  • A multi-keyword expansion retrieval method based on a ciphertext

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Embodiment Construction

[0041] Below in conjunction with specific embodiment, further illustrate the present invention, it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art will understand the various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of this application.

[0042] Such as figure 1 As shown, the present invention provides a multi-keyword extended retrieval method based on ciphertext. First, the keyword set is extracted from the data source provided by the data provider through the IK tokenizer to form a keyword set, and then the inverse keyword set is constructed based on the keyword set. The document vector set is grouped and processed, and then B+ index tree is constructed for each set of vector sets, encrypted by the secure KNN algorithm, and then the ...

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Abstract

The invention discloses a multi-keyword expansion retrieval method based on a ciphertext. The method comprises steps of extracting a keyword set from the data source; constructing an inverse documentvector set based on the keyword set and grouping the inverse document vector set; carrying out B + index tree construction on each vector set, carrying out encryption through a security KNN algorithm,then encrypting a data source through a symmetric encryption algorithm, uploading the encrypted index tree sets and the data source to a cloud server, carrying out fuzzy processing on retrieval keywords input by a user, and carrying out correction according to the situation of input errors of the user; And finally, carrying out semantic analysis operation on the fuzzy query keyword set, expandingthe query keyword set, generating a query vector according to the keyword set subjected to semantic analysis, carrying out grouping processing on the trap door by utilizing the trap door obtained after the processing of an encryption algorithm, and uploading the trap door to a cloud server. From the perspective of trap door expansion, fuzzy processing and semantic analysis are carried out on theretrieval keywords input by the user, and the use experience of the user is improved.

Description

technical field [0001] The invention relates to the technical field of text retrieval, in particular to a ciphertext-based multi-keyword extended retrieval method. Background technique [0002] In the research aimed at privacy protection, searchable encryption schemes occupy an important position, and the research based on this field has also been fully enriched and developed. However, with the explosive growth of data and the increasingly diverse needs of users, this solution is also facing various problems and challenges. Most of the current mainstream solutions perform precise retrieval based on the query keywords entered by the user, without considering various other factors. When the user enters a wrong or single query keyword, it cannot reasonably return the corresponding results to the user. As the amount of data uploaded by users grows linearly, how to filter the results according to the user's favorites and preferences or improve the keyword priority to reduce the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/31G06F16/33
Inventor 许建黄新宇戴华杨庚陈燕俐
Owner NANJING UNIV OF POSTS & TELECOMM
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