5GCID: Dataset of 5GC intrusion detection system

doi:10.1016/j.comcom.2025.108375

CSpace

	5GCID: Dataset of 5GC intrusion detection system
	Hu, Yangliu 1; Sun, Qian 2,3,4; Dang, Tianbin 1; Wu, Guangzhi 4; Tian, Lin 4
	2026-02-01
发表期刊	COMPUTER COMMUNICATIONS
ISSN	0140-3664
卷号	247 页码:15
摘要	The widespread application of fifth-generation (5G) networks brings great convenience but also poses security threats to the 5G core networks (5GC). To effectively detect and prevent these attacks, deep learning (DL)-based anomaly detection methods are crucial. Existing DL-based methods need anomalous data to train the models. Those open-source anomalous datasets of wired networks cannot accurately represent the characteristics of the 5G protocol, such as sequence and fields, resulting in poor detection performance. To address this issue, this paper constructs a dataset for the 5GC intrusion detection system (5GCID), which consolidates the security vulnerabilities of the radio access network (RAN) domain and the 5GC user domain. These threats are analyzed, guiding the design of illustrative threat scenarios and the bespoke tools. Utilizing our 5G network security experimental platform, we gather protocol data to compile the 5GCID dataset as tools are executed on the platform. Furthermore, it provides two preprocessing methods for the 5GCID dataset, focusing on traffic characteristics and control signal structures, respectively. Additionally, we design an intrusion protection method for 5GC, underpinned by explainable artificial intelligence (XAI), referred to as X-5GCIPS. The proposed X-5GCIPS can be viewed as an application of the 5GCID dataset, promising to advance the field of intelligent cybersecurity measures in next-generation networks.
关键词	5GC Dataset Threat case Intrusion detection Explainable intelligent
DOI	10.1016/j.comcom.2025.108375
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001638577300001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42942
专题	中国科学院计算技术研究所
通讯作者	Sun, Qian
作者单位	1.Zhengzhou Univ, Henan Inst Adv Technol, Zhengzhou 450003, Henan, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 4.Nanjing Inst InforSuperBahn, Nanjing 211135, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Hu, Yangliu,Sun, Qian,Dang, Tianbin,et al. 5GCID: Dataset of 5GC intrusion detection system[J]. COMPUTER COMMUNICATIONS,2026,247:15.
APA	Hu, Yangliu,Sun, Qian,Dang, Tianbin,Wu, Guangzhi,&Tian, Lin.(2026).5GCID: Dataset of 5GC intrusion detection system.COMPUTER COMMUNICATIONS,247,15.
MLA	Hu, Yangliu,et al."5GCID: Dataset of 5GC intrusion detection system".COMPUTER COMMUNICATIONS 247(2026):15.