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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。
At present, the detection of optical fiber sensing network security is a hacker detection, judging whether there is invading by the fixed threshold, lacking the prevention process of intrusion and fuzzy predictability of intrusion, lack of forward-looking detection, Evaluation of high-power fiber-optic sensor network intrusion detection methods. Using chaotic time series method to establish the intrusion nodes of high power fiber optic sensor networks belongs to the prediction model. Based on this, the risk assessment process is introduced. Through the hazard perception phase, the new node presentation phase and the decision phase, the high power optical fiber sensing Network intrusion detection method to improve the invasion of the pre-sentence. Experimental results show that the detection method, the detection rate, error rate and energy consumption should be superior to the traditional detection methods, has some advantages.