一种基于危险评估的光纤传感网络入侵检测方法

Intrusion detection method of optical fiber sensing network based on risk assessment

当前光纤传感网络安全性检测都是一种后发式的检测,以固定阀值判断是否发生入侵,缺少对入侵的预防过程和对入侵的模糊预判性,检测缺少前瞻性,提出基于危险评估的高功率光纤传感网络入侵检测方法。采用混沌时间序列法,建立高功率光纤传感网络入侵节点属于预测模型,并以此为基础,引入危险评估过程,通过危险感知阶段、新节点提呈阶段和决策阶段,对高功率光纤传感网络入侵检测法进行改进,实现入侵的预判。实验结果证明,采用该检测方法,其检测率、误差率及能耗方面均要优于传统的检测方法,具有一定的优势。

The current optical fiber sensing network security detection is a kind of backwardness method. And the intrusion is determined by the fixed threshold. It lacks intrusion prevention process and the fuzzy forecasting. Therefore,an invasion detection method of high power optical fiber sensing network based on the risk assessment is proposed. Chaotic time series method is adopted to establish the high power optical fiber sensing network in which to invade the nodes. It belongs to prediction model,and on this basis,introduce the risk assessment process. Through risk perception phase,a new node presentation phase and decision phase,improve the high power optical fiber sensing network invasion detection. And realize the invasion anticipation. The experimental results show that the detection method is superior to the traditional detection method in the detection rate,error rate and energy consumption and it has a certain advantage.