Ciphertext sorting searching method based on type grouping index in cloud network

Abstract

The invention relates to a ciphertext sorting searching scheme based on a classification document in a cloud network. According to the scheme, through a document clustering method, after a document isclassified, key words are extracted to establish an index, an original high-dimension secret key is converted into a low-dimension secret key, and the time of establishing the index is optimized. According to the scheme, by adopting a scoring mechanism in a key word group, the flexibility of adding and deleting the document is improved. During index updating, a group vector corresponding to a type key word set which needs to be changed is updated, and the time of updating the index is shortened. In the retrieval aspect, a targeted retrieval scheme is provided, a cloud server does not need tocalculate and query the whole vector volume of a trap door and the index during searching but only needs to calculate the volume of the group vector containing the query key word, the retrieval speedis increased, and the retrieval efficiency is improved.

Description

technical field [0001] The invention relates to the field of ciphertext sorting and retrieval in cloud networks, in particular to the construction of classification index and classification retrieval technology in ciphertext sorting and retrieval. Background technique [0002] With the rapid development of computer technology, cloud storage services came into being. Compared with traditional storage services, in the era of cloud computing, many individuals and enterprises store their complex data in the cloud, so that they can enjoy some high-quality services, such as saving local storage costs, realizing information sharing, and facilitating the use of fast cloud services information processing, etc. Yet many cloud consumers have raised concerns about the security of cloud storage. They are afraid that some of their private data stored in the cloud will be leaked. In order to protect the private information of users and enterprises from being leaked, the data needs to be...

AI Technical Summary

Problems solved by technology

However, it is not scientific to directly apply these techniques to more complex document retrieval systems, because for complex data, the retrieval efficiency of these methods is not only low, but also they are difficult to apply to high-quality retrieval requirements

Although Golle and others try to enrich the flexibility of ciphertext retrieval, they still cannot meet the retrieval requirements for complex data, and at the same time, they cannot sort out the data that is useful to users for the retrieval results

In the existing ciphertext sorting search scheme proposed by Cao et al., for large data, the key dimension is large, the execution time of creating and updating the index is long, and the retrieval efficiency is low

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