Efficient ciphertext retrieval method based on CP-ABE automatic correction and cloud computing service system

Abstract

The invention belongs to the technical field of cloud computing private protection, and discloses an efficient ciphertext retrieval method based on CP-ABE automatic correction and a cloud computing service system. The method comprises the steps of storing an encrypted Bloom filter and a corresponding ciphertext file ID set in a leaf node of the R tree by combining the R tree and the Bloom filter as index structures; using the cloud server to perform the matrix positioning on the R tree according to the search trap door, and then match the encrypted Bloom filters in the leaf nodes; sorting thefiles according to the inner product result of the Bloom filter; introducing a random number in the trap door generation process, wherein different trap doors can be generated even if according to thesame keyword; performing the co-encryption by using the access structure and the owner secret attribute. According to the method, a symmetric key with a small CP-ABE encryption volume is used, so that the fine-grained access control is realized; a multi-agent server is introduced to realize the decentralization, and the collusion between the proxy servers is prevented.

Description

technical field [0001] The invention belongs to the technical field of cloud computing privacy protection, and in particular relates to an efficient ciphertext retrieval method based on CP-ABE automatic correction and a cloud computing service system. Background technique [0002] With the rapid development and maturity of the Internet and the Internet, scholars have proposed a distinctive network-based computing model, namely "cloud computing". In order to obtain cheaper storage resources and computing resources, many enterprises and users choose to purchase cloud computing services instead of server equipment, and upload data information to cloud servers. However, because cloud services are not completely trustworthy, there are issues such as privacy, compatibility and stability of cloud computing. In order to ensure that information is not leaked, users usually choose to encrypt and store data in the cloud. The encrypted data brings difficulties to users in manipulating...

AI Technical Summary

Problems solved by technology

Aiming at the problem of low efficiency of the traditional search system, the present invention combines the R tree and the Bloom filter as the index structure, and stores an encrypted Bloom filter and the corresponding ciphertext file ID set in the leaf nodes of the R tree

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