An AI abnormal traffic detection and communication security protection method and system
By constructing a scenario-specific collaborative model for bidirectional linkage verification and dynamic adjustment, the problem of existing technologies being unable to identify unknown attacks and adapt to complex network environments has been solved, achieving highly accurate and low-impact abnormal traffic detection and protection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-06-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing abnormal traffic detection methods cannot effectively identify unknown and variant attacks, are difficult to adapt to complex and dynamically changing network environments, and their defense measures are prone to causing normal business interruptions, making it difficult to meet the protection needs in complex network environments.
A scenario-specific collaborative model is constructed. Through bidirectional linkage verification between multidimensional feature probability distribution and behavioral state machine, the mean offset of features is monitored and the threshold or state is dynamically adjusted to generate dynamic protection measures, thereby achieving in-depth extraction and detection of abnormal traffic.
It improves the accuracy and security of detection, adapts to changes in the network environment, reduces the impact of false positives on normal business operations, and enhances the system's availability and ability to identify covert attacks.
Smart Images
Figure CN122419971A_ABST