A fully homomorphic key distribution method for leveled

Abstract

The invention belongs to the technical field of data sharing, and discloses a full-homomorphic secret key distribution method for Leveled. The method comprises the steps that a KGC (key generating center) calculates signature public and private keys for group members, and discloses the system parameters; the KGC distributes the signature keys to the group members, and the group members carry out the negotiation of the group sharing of secret keys; a central node employs the shared secret keys for the sharing of the homomorphic secret key parameters; each group member employs the homomorphic secret key parameters for calculation, thereby completing the distribution of the homomorphic secret keys. The method achieves the sharing of the homomorphic secret keys among the group users, and the users outside the group cannot obtain the secret key. The method can be used for the searching of the privacy data shared by the group users.

Description

technical field [0001] The invention belongs to the technical field of data sharing, and in particular relates to a Leveled fully homomorphic key distribution method. Background technique [0002] User privacy data retrieval means that users store their private data on untrusted third-party servers, such as cloud servers. In order to complete the data retrieval without disclosing the private data, it is not only necessary to encrypt the data, but also to perform certain processing on the encrypted data. The homomorphic encryption algorithm just meets this requirement. If multiple users participate in the shared data retrieval work, the premise of using the homomorphic encryption algorithm is that the sharing of homomorphic keys among multiple users must be realized. In group user sharing private data retrieval, the existing scheme is only for a single retrieval user, each user has its own unique key system, without any interference between each other, for private data share...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: for the data shared by multiple users, each user still needs to hold a different retrieval key when retrieving, which brings the burden of key management; In state-of-the-art ciphertext retrieval technology, ciphertext operations need to correspond to the same public key, and multiple keys make retrieval very difficult.

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