Multi-level authentication data flow security detection algorithm in zero trust environment
The sensitive information in identity authentication data flow may be intercepted by attackers during transmission and used for malicious purposes,leading to risks such as privacy leakage and identity theft.To ensure network security and improve the security of subject identity authentication,a multi-level identity authentication data flow security detection algorithm in zero trust environment is proposed.An improved document fingerprint detection algorithm is adopted to achieve secure monitoring of the interaction data flow between the subject and object in the process of multi-level identity authentication.The Rabin-Karp algorithm is used to partition the identity authentication data documents.After partition the document boundaries of the authentication data blocks by Winnow algorithm,the fingerprint of the identity authentication data document is obtained.The obtained fingerprint is matched and compared with that in the fingerprint database,so as to identify the abnormal data in the multi-level identity authentication data flow and realize the security detection of the multi-level identity authentication data flow.The experimental results show that the proposed algorithm has good security detection capabilities for identity authentication data flow,effectively reducing the frequency of network threats and improving network security.
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维普
