一种基于流向监控的多云数据异常行为检测方法及系统
By injecting co-location tracking tags into a multi-cloud environment and combining them with frequency domain analysis, the problem of data flow path breakage across clouds is solved, enabling efficient detection and real-time defense against abnormal behavior.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANGZHOU JINCUI INFORMATION TECH CO LTD
- Filing Date
- 2026-05-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve continuous tracking of cross-cloud data flow paths in multi-cloud architectures, resulting in the inability to effectively detect abnormal behavior and leading to false alarms and missed alarms.
By injecting location tracking tags into the original business data stream and capturing data using cross-cloud probe groups, a flow frequency domain modal benchmark is established, and the flow detuning degree is calculated to determine anomalies and trigger circuit breaker isolation.
It enables continuous tracking of cross-cloud data streams throughout their entire lifecycle, reducing false alarm and false negative rates and improving data transmission security and adaptive defense capabilities in multi-cloud environments.
Smart Images
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