In order to improve the Internet of Things(IoT)security performance of military material supply chain,and en-hance the defense capability of network intrusion,an IoT security detection model based on characteristics parameters combined optimization and estimation of network intrusion information is proposed. The IoT node deployment structure model of military material supply chain was constructed to analyze and extract the IoT intrusion characteristic parameters. The parameters com-bined optimization method of fluctuation and frequency is used to design parameter safety detection model of IoT security frame-work. The framework of security detection model for IoT intrusion was realized. The simulation test results show that the method used to construct the IoT security framework of military material supply chain has high accurate detection performance of net-work intrusion information,strong anti-interference ability,and can ensure the IoT safety.%为了提高军事物资供应链物联网的安全性能,提高网络入侵的防御能力,提出一种基于网络入侵信息特征参量的联合优化估计的物联网安全检测模型.首先构建军事物资供应链物联网的节点部署结构模型,分析物联网入侵特征参量,提取物联网入侵特征参数,采用波动和频率参量联合优化方法设计物联网安全构架的参数安全检测模型,实现物联网入侵的安全检测模型构架.仿真测试结果表明,该方法进行军事物资供应链物联网安全构架,对网络入侵信息的准确检测性能较好,抗干扰能力较强,确保了物联网安全.
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