Privacy protection method for storing shared data in mobile cloud

Abstract

The invention discloses a privacy protection method for storing shared data in a mobile cloud. The privacy of a data owner is effectively protected through strategy semi-hiding. A public key and a private key are generated when an attribute authority is initialized, the data owner encrypts the data by using the public key generated by the attribute authority, thereby generating ciphertext and uploading the ciphertext to a cloud server to store; a user and the attribute authority are interacted to generate a private key of the user; when the user sends an access request to the cloud server andacquires the ciphertext data stored at the cloud server by the data owner, the decryption is performed through plaintext data to be shared by the data owner and the related operation is performed. Through the privacy protection method disclosed by the invention, the protection of the privacy of the data owner can be well protected, the calculated quantity of the data owner in the traditional hiding access scheme is greatly reduced, and the method is suitable for the situation that the encryption strategy in the mobile terminal application is far less than the system attribute.

Description

technical field [0001] The invention relates to the field of cloud storage, in particular to a method for protecting privacy of shared data in mobile cloud storage. Background technique [0002] At present, with the development of information technology, more and more enterprises and individuals begin to use cloud platforms. Cloud computing has the advantages of powerful storage capacity and computing resources, which prompts them to outsource some data and some services to cloud servers. Cloud computing It has been widely used in industrial and commercial fields. At the same time, with the development of mobile networks, in the cloud computing environment, data sharing and query through mobile terminals are becoming more and more common. However, everything has two sides. Although storing data in the cloud is convenient for users to manage and operate, it also brings some security risks, such as data privacy security and access control. Because the cloud is not completely...

AI Technical Summary

Problems solved by technology

For example, in 2008, Nishide et al. used wildcards to construct an attribute-based encryption scheme that supports partial policy hiding, but this scheme only supports AND logic operations between multi-valued attributes; Zhou et al. combined broadcast encryption to propose an efficient privacy-supporting Protected attribute-based encryption scheme, but this scheme only supports AND gate operation

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