电讯技术2025，Vol.65Issue(8)：1240-1247,8.DOI:10.20079/j.issn.1001-893x.240407003
基于改进Transformer模型的Ad Hoc网络MAC协议识别技术
MAC Protocol Identification Technology for Ad Hoc Networks Based on Improved Transformer Model
何文雯 1李盛祥 1王莉 1李浩 1李盈达 1马鹏飞1
作者信息
- 1. 中国人民解放军 63892 部队,河南 洛阳 471003
- 折叠
摘要
Abstract
The existing media access control(MAC)protocol identification models have the problems of imperfect feature data selection,difficult data collection and only focusing on local features.In order to solve above problems,firstly,based on the Transformer model,a Conv-Transformer model is proposed.The convolution operation is introduced into the model,the feature values in the convoluted feature map are segmented and spliced,and category information encoding is added.Secondly,based on the Exata platform,Ad Hoc network simulation scenarios with different topologies are built,and the data of all physical layers is collected to train and test the Conv-Transformer model.The test results indicate that on the identification task of four MAC protocols(ALOHA,CSMA/CA,MACA,and TDMA)in the Ad Hoc network,the proposed model has improved the accuracy by 20.8%compared with the classic deep learning model recurrent neural network(RNN),by 14.6%compared with convolutional neural network(CNN),and by 68.8%compared with Transformer.关键词
Ad Hoc网络/MAC协议识别/深度学习/Transformer模型Key words
Ad Hoc network/MAC protocol identification/deep learning/Transformer model分类
信息技术与安全科学引用本文复制引用
何文雯,李盛祥,王莉,李浩,李盈达,马鹏飞..基于改进Transformer模型的Ad Hoc网络MAC协议识别技术[J].电讯技术,2025,65(8):1240-1247,8.
