Access security control method and system based on intelligent whitelist verification

By extracting network access data features through a deep learning neural network model, and automatically updating whitelist conditions and security control models, the problem of whitelist verification methods being unable to adapt to network changes is solved, thereby improving network security and access efficiency.

CN116488937BActive Publication Date: 2026-05-29INFORMATION CENT OF YUNNAN POWER GRID CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
INFORMATION CENT OF YUNNAN POWER GRID CO LTD
Filing Date
2023-06-02
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing whitelist verification methods are difficult to adapt to constantly changing network access data, leading to security risks. Furthermore, the whitelist conditions cannot be updated automatically, which may be exploited by malicious users.

Method used

By extracting features from network access data using a deep learning neural network model, the whitelist conditions are automatically updated. The whitelist conditions and network security control model are adjusted, and malicious access data is identified using data features. Conditions that are no longer safe are removed and new safe conditions are added. The network security control model is then trained to improve accuracy.

Benefits of technology

It enables automatic updates of whitelist conditions, adapts to changes in network access data, reduces the chances of malicious visitors obtaining the conditions, improves network security and access efficiency, and reduces security risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure relates to a kind of access security control method and system based on intelligent whitelist verification, belong to computer technology field.The method includes: receiving network access data in preset time period;By access result, network access data is divided;By network security control model, obtain first normal data feature, first malicious data feature, second normal data feature and second malicious data feature;According to first normal data feature, first malicious data feature, second normal data feature and second malicious data feature, obtain the whitelist condition of next state;According to first normal data feature, first malicious data feature, second normal data feature, second malicious data feature and access result, obtain the network security control model of next state;Using the whitelist condition of next state, the network access data in next time period is carried out security verification.According to the present application, whitelist condition can be automatically updated, and security is improved.
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