Automatic sensing model method and system for illegal access in network security isolation area

By building a network topology map matrix, deploying distributed acquisition nodes and deep learning technology, and combining the multi-dimensional feature fusion method, the problem of difficulty in real-time and accurate perception of illegal device access in the secure isolation area is solved, and efficient detection and response to illegal devices is achieved.

CN120378200AActive Publication Date: 2025-07-25BEIHAI FORECASTING CENT OF STATE OCEANIC ADMINISTRATION ((QINGDAO MARINE FORECASTING STATION OF STATE OCEANIC ADMINISTRATION) (QINGDAO MARINE ENVIRONMENT MONITORING CENT OF STATE OCEANIC ADMINISTRATION))
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Patent Information

Application Number
CN202510692766.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-27
Publication Date
2025-07-25
Estimated Expiration
2045-05-27

AI Technical Summary

Technical Problem

In the prior art, it is difficult to perceive illegal device access in real time and accurately. Especially when faced with professional attackers, the lack of fine-grained real-time monitoring mechanisms leads to blind spots for internal threat detection.

Method used

Build a network topology map matrix for safe isolation areas, deploy distributed traffic acquisition nodes, use deep packet detection technology to extract the device behavior baseline library, apply multi-objective risk assessment functions, combine multi-layer perceptrons and timing anomaly detection algorithm, introduce the device fingerprint recognition mechanism, build a multi-dimensional anomaly scoring system, analyze network behavior through the secure isolation intelligent perception network model, and use federated learning technology to optimize the model.

Benefits of technology

Real-time and accurate perception of illegal equipment access is achieved, the protection capability of the secure isolation area is improved, the camouflage access behavior can be identified, the false alarm rate is reduced, and the overall security is improved.

✦ Generated by Eureka AI based on patent content.
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Abstract

The invention provides an automatic perception model method and system for illegal access in a network security isolation area, and belongs to the technical field of computer systems based on specific calculation models.The method comprises the steps that firstly, a network topological graph matrix of the security isolation area is constructed, an equipment asset list is established, and then distributed flow collection nodes are deployed to obtain real-time network data; a deep packet detection technology is used for extracting features to establish an equipment behavior baseline library, a multi-target risk assessment function is used for carrying out risk grade division on equipment, a multi-layer perceptron and a time sequence anomaly detection algorithm are used for identifying abnormal communication, and an equipment fingerprint identification mechanism based on physical layer characteristics is established to verify the legality of the identity of the equipment. A security isolation intelligent sensing network model is utilized to analyze network behaviors, a multi-dimensional abnormal scoring system is constructed to calculate risk scores, a response mechanism based on a rule engine is realized, a federal learning technology can be selectively adopted to optimize the model, and an all-dimensional and multi-level illegal access automatic sensing protection system is formed.
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