一种基于树突状细胞算法的动态蜜阵防御方法和相关设备
By employing a dynamic honeycomb defense method based on dendritic cell algorithm, real attacks and false scans can be distinguished in real time. This solves the problems of high false alarm rate and slow response in traditional honeycomb defense schemes, realizes intelligent and real-time network protection, and reduces the risk of lateral movement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional honeycomb defense solutions cannot effectively distinguish between real attacks and false scans, resulting in high false alarm rates, long signal-to-decision links, slow response times, high risk of attackers moving laterally, and insufficient intelligence, precision, and real-time capabilities in network protection.
A dynamic honeycomb defense method based on dendritic cell algorithm is adopted. By acquiring the original network traffic and antigen ID when the honey point is touched, four types of immune native signals are quantified. The dendritic cell algorithm unit is used to generate immune decision signals, and dendritic cell agents are embedded in the honey point to perform accumulation operations. High-risk and low-risk behaviors are distinguished in real time, and the honeycomb transformation mechanism is triggered to achieve micro-isolation.
Significantly reduces false alarm rate, improves the intelligence, precision and real-time level of network protection, maximizes the time to hold attackers, induces attackers to expose more information, locally cuts off attack traffic, and reduces the risk of lateral movement.
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Figure CN121644139B_ABST
Abstract
Citation Information
Patent Citations
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