The invention discloses an unmanned aerial vehicle network intrusion detection method based on a lightweight Transform, belongs to the technical field of network technology security, and can improve the detection performance of unmanned aerial vehicle network traffic. Comprising the following steps: capturing network traffic data in real time through traffic monitoring equipment or software deployed on a network key node to obtain a network traffic sequence; performing standardization processing on the network flow sequence; increasing position information for the standardized network flow sequence by adopting rotation position coding; performing local feature aggregation and global feature enhancement on the encoded network traffic sequence by using a local aggregation attention unit; and extracting the enhanced features by using a lightweight feedforward neural network, processing the extracted features by using a stacked multi-layer lightweight Transformer encoder, outputting a detection result by using a SoftMax classifier, and detecting an attack type.
本发明公开了一种基于轻量化Transformer的无人机网络入侵检测方法,属于网络技术安全技术领域,能够提高无人机网络流量的检测性能;包括通过部署在网络关键节点上的流量监控设备或软件,实时捕获网络流量数据,得到网络流量序列;对网络流量序列进行标准化处理;采用旋转位置编码为经标准化处理的网络流量序列增加位置信息;利用局部聚合注意力单元对经过编码的网络流量序列进行局部特征聚合和全局特征增强;利用轻量化前馈神经网络对增强后的特征进行提取,并经过堆叠的多层轻量化Transformer编码器处理后,使用SoftMax分类器输出检测结果,检测攻击类型。
Unmanned aerial vehicle network intrusion detection method based on lightweight Transform
一种基于轻量化Transformer的无人机网络入侵检测方法
2025-05-13
Patent
Electronic Resource
Chinese
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