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

doi:10.1109/TNSM.2025.3565614

	DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion
	Zha, Chao 1,2,3,4; Wang, Zhiyu 5; Fan, Yifei 5; Bai, Bing 5; Zhang, Yinjie 5; Shi, Sainan 5; Zhang, Ruyun 1,5
	2025-08-01
发表期刊	IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
ISSN	1932-4537
卷号	22 期号:4 页码:3646-3661
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.
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
DOI	10.1109/TNSM.2025.3565614
收录类别	SCI
语种	英语
资助项目	Key Research and Development Program of Zhejiang Province[2024SSYS0001]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:001548122600030
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41761
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.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Intelligent Comp Infrastruct Innovat Ctr, Zhejiang Lab, Hangzhou 311500, Zhejiang, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.UCAS, Hangzhou Inst Adv Study, Sch Intelligent Sci & Technol, Hangzhou 311500, Zhejiang, 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.