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DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion

文献类型：期刊论文

作者Zha, Chao1,2,3,4; Wang, Zhiyu5; Fan, Yifei5; Bai, Bing5; Zhang, Yinjie5; Shi, Sainan5; Zhang, Ruyun2,5
刊名IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
出版日期2025-08-01
卷号22期号:4页码:3646-3661
关键词Feature extraction Payloads Network intrusion detection Telecommunication traffic Vectors Graph neural networks Radio frequency Data mining Training Technological innovation Intrusion detection flow modal payload modal bilinear fusion semantic
ISSN号1932-4537
DOI10.1109/TNSM.2025.3565614
英文摘要The machine learning-based approach to network intrusion detection presents a groundbreaking research paradigm, positioned to replace traditional rule-based and signature-based methods. However, prior research methodologies have predominantly focused on flow-based approaches, which may not be effective in detecting all types of attacks at a granular level. In this study, we introduce DM-IDS, an attention-convolution architecture model for bimodal network intrusion detection in both flow and payload modalities, using bilinear fusion. Notably, we present a novel method for constructing binary-form feature vectors under the payload modality, with the goal of extracting additional security semantic features. To facilitate this, we independently develop a feature generation tool named Beeman. Finally, we conduct a series of comparative and ablation experiments on two publicly available datasets, CICIDS-2017 and CICIoT-2023, achieving state-of-the-art model performance.
资助项目Key Research and Development Program of Zhejiang Province[2024SSYS0001]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001548122600030
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/41760]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Ruyun
作者单位1.UCAS, Hangzhou Inst Adv Study, Sch Intelligent Sci & Technol, Hangzhou 311500, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
3.Intelligent Comp Infrastruct Innovat Ctr, Zhejiang Lab, Hangzhou 311500, Zhejiang, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Zhejiang Lab, Intelligent Comp Infrastructure Innovat Ctr, Hangzhou 311500, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Zha, Chao,Wang, Zhiyu,Fan, Yifei,et al. DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion[J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT,2025,22(4):3646-3661.
APA Zha, Chao.,Wang, Zhiyu.,Fan, Yifei.,Bai, Bing.,Zhang, Yinjie.,...&Zhang, Ruyun.(2025).DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion.IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT,22(4),3646-3661.
MLA Zha, Chao,et al."DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion".IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 22.4(2025):3646-3661.

入库方式： OAI收割

来源：计算技术研究所

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