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Supervisable zero-knowledge proof method and device based on discrete logarithm equality proof

A zero-knowledge proof and discrete logarithm technology, applied in the field of data security

Active Publication Date: 2021-04-30
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Therefore, an object of the present invention is to propose a supervised zero-knowledge proof method based on the discrete logarithm equality proof, which solves the problem that the supervisory process adopts Symmetric encryption and the need for interaction in the regulatory process

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  • Supervisable zero-knowledge proof method and device based on discrete logarithm equality proof

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Embodiment Construction

[0066] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0067] The supervised zero-knowledge proof method and device based on the discrete logarithm equality proof according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0068] Firstly, a supervised zero-knowledge proof method based on discrete logarithm equality proof proposed according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0069] It should be noted that the embodiments of the present invention rela...

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Abstract

The invention discloses a supervisable zero-knowledge proof method and device based on discrete logarithm equality proof, and the method comprises the steps: obtaining a public parameter of a supervisable zero-knowledge proof system, a public key and a private key for data encryption and extraction, and a committed generator, and disclosing the public parameter, the public key and the generator; enabling the proving party to encrypt the private data; enabling the proving party to perform commitment and zero-knowledge proving on the private data; enabling the proving party to generate discrete logarithm equality proving for the ciphertext and the commitment; enabling the proving party to send the commitment and zero knowledge proof broadcast, the ciphertext and the equality proof to the supervising party; enabling the verification party to verify the zero-knowledge proof and verifies the validity of the data; enabling the supervisor to verify the discrete logarithm equality proof and judge whether the data encrypted by the proof party is uplink data or not; and enabling the supervisor to extract the data in the ciphertext according to the equality proof verification result and audits the data. According to the method, an efficient supervision scheme without interaction is constructed by adopting asymmetric encryption, and the supervision requirement of a supervisor is met in a scene of protecting data privacy by using zero knowledge proof.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a supervised zero-knowledge proof method and device based on discrete logarithm equality proof. Background technique [0002] In the current era of big data, cloud computing, blockchain and other technologies are widely used, emphasizing the protection of data privacy. The usual protection method is to use zero-knowledge proof to hide the data and allow the verifier to verify that it satisfies a certain assertion without knowing the content of the data. This original zero-knowledge proof method can greatly protect data holder. However, as the country attaches great importance to network security, in order to prevent the dissemination of illegal information on the network, appropriate supervision of private data is required. Therefore, it is necessary to implement zero-knowledge proof methods that can extract private data by specific regulatory agencies. The analysis show...

Claims

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Application Information

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IPC IPC(8): G06F21/60G06F21/62
CPCG06F21/602G06F21/6245
Inventor 伍前红谢平朱焱郑海彬
Owner BEIHANG UNIV
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