入侵检测中基于检测点覆盖度的包流量模型

无线传感器网络入侵检测系统无论采用哪种框架模型和算法,对其性能评估都需借助于模拟的实验平台。在这个模拟的实验平台中,数据流量模型成为评估入侵检测系统性能客观而全面的重要因素。根据监测区域内目标检测点的覆盖度,提出了一种适用于无线传感器网络入侵检测应用的包流量模型,并通过仿真对理论分析进行了验证。仿真和实际应用表明,该流量模型为无线传感器网络的流量构建了一种数据源模型,根据实际流量负载对无线传感器网络的入侵检测系统的性能进行评估,不仅精确度较高,且易于分析。

Packet Traffic Model Based on Coverage Degree of Sensed Points in Wireless Sensor Networks Intrusion Detection

The performance assessment is required using simulation experiment platform no matter what kind of frame model and algorithm is utilized in wireless sensor network intrusion detection system, in which the packer traffic model is an important factor for assessing the performance of intrusion detection systems objectively and comprehensively. According to coverage degree of the sensed points within the surveillance area,a packet traffic model was proposed, which could be applied to wireless sensor network intrusion detection system by means of the simulation tool.The theoretical analysis was verified. Simulation results and practical application showed that the proposed packet traffic model built a data source model for the data traffic of wireless sensor network, according to the actual traffic load; it could assess the performance of wireless sensor network intrusion detection system with high accuracy and easy to analysis.