Keyword cipher text retrieval method for cloud storage

Abstract

The invention provides a keyword cipher text retrieval method for cloud storage. The method comprises a data owner, a cloud service sever and a data user. The data owner stores encrypted files, headlines, keywords and verify certifications of the data user and the like to the cloud service server. The cloud service server stores and builds up corresponding relationships of the encrypted files, headlines and keywords, and stores the verify certifications of the data user and the like. When the data user visits cipher texts inside the cloud service server, the data user needs the verify certification awarded by the data owner and provides the cloud service server with information like a keyword trap door and the like, the cloud service server sends the cipher texts the user needs to the data user according to the information like the keyword trap door and the like, and the data user utilizes a secret key to decipher the cipher texts. Compared with the prior art, the keyword cipher text retrieval method for the cloud storage is high in safety, and capable of lowering burdens of communication, storage, and calculation, and improving accuracy and efficiency of retrieval of cipher texts.

Description

technical field [0001] The invention relates to the technical field of computer information security, in particular, it utilizes a keyword ciphertext retrieval method oriented to cloud storage. Background technique [0002] Cloud computing can provide users with cheaper computing, storage and application services on the Internet. More and more enterprises and even individuals are willing to store data in cloud servers, and can retrieve the data when needed. However, after users store data in the cloud environment, they lose direct control over the data, which may lead to the leakage and abuse of user privacy data. For example, cloud service providers such as Google? MediaMax have experienced data leakage or loss of user data. Data stored in the cloud environment faces greater security issues. It not only prevents network hackers from illegally obtaining data, but also prevents cloud service providers or outsourced database service providers from spying on sensitive data. ...

AI Technical Summary

Problems solved by technology

However, when using the bloom filter for ciphertext retrieval, although the probability of error is very small, it is not absolutely accurate

At the same time, the expansion performance is not very good

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