Multi-factor authentication scheme based on custom attributes

doi:10.1007/s10586-024-04371-0

Multi-factor authentication scheme based on custom attributes

2024-03-30

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DOI：10.1007/s10586-024-04371-0

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Identity authentication is the key technology to confirm and authorize the legal identity of users, and it plays an important role in the field of information security. However, the current user authentication attributes are usually pre-specified by the server, which has the problem of lack of flexibility. Therefore, a multi-factor authentication scheme based on custom attributes is proposed in this paper. The user creates the authentication policy tree according to the personal identity attribute factor, and constructs the authentication policy set. In order to authenticate quickly, a multi-level cryptographic accumulator is designed. The Level-One cryptographic accumulator is used to accumulate the unique identity of the user, and the Level-Two cryptographic accumulator is used to accumulate the authentication policy set of the user. Based on the untamperable property of the blockchain and combined with the Schnorr digital signature protocol, register the accumulated value and evidence of the multi-level cryptographic accumulator to the blockchain. The user's identity is authenticated by verifying the accumulated value and evidence on the blockchain. In order to verify the performance of the scheme, the throughput and average time delay of registration and authentication methods are tested and analyzed in detail. The results show that by integrating authentication policy tree, multi-level cryptographic accumulator and blockchain network, this scheme can not only achieve multi-factor authentication with custom attributes, but also maintain good performance. It has made a useful contribution to the field of multi-factor identity authentication based on custom attributes.

Keywords:

Blockchain

Cryptographic accumulator

Authentication

Schnorr digital signature

Identity attribute

Multi-factor authentication scheme based on custom attributes

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