为了提升网络通信的安全性，提出基于物联网技术的舰船网络安全监测预警方法。感知层利用传感器采集舰船网络设备数据；传输层中数据传输单元依据传输控制协议，封装打包各传感器采集的舰船网络数据，并传输至融合层；融合层中数据融合单元，利用加权融合算法，融合各传感器采集的网络数据；应用层中网络安全监测单元，利用集对分析算法，结合融合后的网络数据，计算舰船网络安全态势值，监测舰船网络的安全态势；利用网络安全预警单元对比分析安全态势值与设置阈值，当安全态势值低于设置阈值，则发出警报，实现舰船网络安全预警。实验证明，该方法可有效融合舰船网络设备相关数据，精准监测舰船网络的安全态势，完成网络安全监测预警。
In order to improve the security of network communication, a ship network security monitoring and warning method based on Internet of Things technology is proposed. The perception layer utilizes sensors to collect data from ship network devices. The data transmission unit in the transmission layer encapsulates and packages the ship network data collected by each sensor based on the transmission control protocol, and transmits it to the fusion layer. The data fusion unit in the fusion layer utilizes a weighted fusion algorithm to fuse the network data collected by each sensor, The network security monitoring unit in the application layer utilizes set pair analysis algorithm and combines the fused network data to calculate the security situation value of the ship network and monitor the security situation of the ship network. Compare and analyze the security situation value with the set threshold using the network security warning unit. When the security situation value is lower than the set threshold, an alarm will be issued to achieve ship network security warning. The experiment proves that this method can effectively integrate data related to ship network equipment. This method can accurately monitor the security situation of ship networks and complete network security monitoring and warning.
2023,45(15): 123-126 收稿日期：2023-03-29
DOI：10.3404/j.issn.1672-7649.2023.15.024
分类号：TP393.08
基金项目：江西省教育厅科学技术研究项目（2080711）
作者简介：詹雪(1985-),女,硕士,讲师,研究方向为计算机网络及电子商务物流
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