Efficient ciphertext retrieval method and cloud computing service system based on cp-abe automatic correction

Abstract

The invention belongs to the technical field of cloud computing privacy protection, and discloses a high-efficiency ciphertext retrieval method based on CP‑ABE automatic correction and a cloud computing service system; combining an R tree and a Bloom filter as an index structure, an encrypted Bloom filter The device and the corresponding ciphertext file ID set are stored in the leaf nodes of the R tree; the cloud server performs matrix positioning on the R tree according to the search trapdoor, and then matches the encrypted Bloom filter in the leaf node; according to the Bloom filter The inner product result sorts the files; the trapdoor generation process introduces random numbers, even if the same keyword will generate different trapdoors; it is encrypted by using the access structure and the owner's secret attribute. The invention uses a symmetric key with a small CP-ABE encryption volume to realize fine-grained access control; introduces multiple proxy servers to realize decentralization; and prevents collusion between proxy servers.

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 gradual 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 trusted, it brings problems such as privacy, compatibility and stability of cloud computing. In order to ensure that information is not leaked, users usually choose to store data encrypted in the cloud. Confidential data makes it difficult for users to manipula...

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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