数据驱动的光纤传感网络隐蔽信息检测系统

Data driven covert information detection system for optical fiber sensor networks

隐蔽信息是网络信息安全领域内的难点问题,为准确检测光纤传感网络隐蔽信息,降低检测过程能耗,设计基于数据驱动的光纤传感网络隐蔽信息检测系统。采用数据包采集模块采集光纤传感网络数据信息,协议分析模块分析协议类型对数据进行分类与滤波处理。数据驱动模块判断不同类型数据缺失点,填补缺失数据,利用数据驱动模型确定数据特征参数,根据协议树形结构,构建、更新规则库。检测模块对比规则库内数据规则与光纤传感网络实际运行的实时数据,完成隐蔽信息检测,通过响应模块输出隐蔽信息检测结果。实验结果显示该系统误检率与漏检率均值分别为3.122和2.437×10^(-2),能耗均值为0.053/10^(-3) J。

Hidden information is a difficult problem in the field of network information security.In order to accu-rately detect the hidden information of optical fiber sensor network and reduce the energy consumption in the detection process,a data-driven hidden information detection system for optical fiber sensor network is designed.The data pack-et acquisition module is used to collect the data information of optical fiber sensor network,and the protocol analysis module analyzes the protocol type to classify and filter the data.The data-driven module judges the missing points of different types of data,fills in the missing data,determines the data characteristic parameters by using the data-driven model,and constructs and updates the rule base according to the protocol tree structure.The detection module com-pares the data rules in the rule base with the real-time data of the actual operation of the optical fiber sensor network,completes the detection of hidden information,and outputs the detection results of the hidden information through the response module.The experimental results show that the average false detection rate and missed detection rate of the system are 3.122 and 2.437×10^(-2)respectively,and the average energy consumption is 0.053/10^(-3) J.