空间激光通信网络中虚假信息检测研究

Research on false information detection in space laser communication network

虚假信息会影响空间激光通信网络的性能,当前空间激光通信网络虚假信息检测方法存在许多不足,如检测错误率高,检测速度慢等,为了获得理想的虚假信息检测结果,设计了基于人工智能技术的空间通信网络虚假信息检测方法。首先采集空间激光通信网络信息的数据样本,并对数据样本进行预处理,生成了低维度、高质量的激光通信网络信息,然后采用人工智能设计空间激光通信网络信息检测模型,最后进行了空间激光通信网络信息检测实验。检测实验结果表明:本方法可以提高虚假信息的检测正确率,高达94%以上,空间激光通信网络信息检测时间大约为5 s,可以满足空间激光通信网络信息检测实时性要求。

false information will affect the performance of space laser communication network. At present, there are many deficiencies in the false information detection method of space laser communication network, such as high detection error rate and slow detection speed. In order to obtain ideal false information detection results, a false information detection method system of space communication network based on artificial intelligence technology is designed. Firstly, the data samples of spatial laser communication network information are collected and preprocessed to generate low-dimensional and high-quality laser communication network information. Then, the spatial laser communication network information detection model is designed by artificial intelligence. Finally, the spatial laser communication network information detection experiment is carried out. The results show that this method can improve the detection accuracy of false information, which is more than 94%, at the same time, the information detection time of space laser communication network is about 5 s, which can meet the real-time requirements of information detection of space laser communication network.