基于业务感知的空天地一体化信息网络流量分类技术

The Network Traffic Classification Technology of Air Ground integrated Information Network based on Service Awareness

为了提高空天地一体化信息网络的可管性和可控性,提出了基于业务感知的空天地一体化信息网络流量分类技术。设计了具有业务感知功能的认知路由节点,并在基于机器学习的网络流量分类模型基础上,针对空天地一体化信息网络环境中存在大量噪声和网络流量中存在过多的冗余特征属性,将具有特征有效度的模糊支持向量机(FW-FSVM)用于网络流量分类领域。实验结果表明,该技术能有效地提高网络流量分类精度且分类稳定性较高,为空天地一体化信息网络建设提供可靠服务质量和安全策略保证。

In order to improve the controllability of the air ground integrated information network,the network traffic classification technology of air ground integrated Information network based on service awareness is proposed.The cognitive routing node with service awareness function and network traffic classification model based on machine learning are designed.Since there are much noise and redundant features in network traffic,novel fuzzy support vector machine with feature weighted degree（FW-FSVM）is applied in network traffic classification.Experimental results show that this technology has higher accuracy and stability of classification.It can provide guarantee for the construction of the air ground integrated information network in QoS and security policy.