5GCID: Dataset of 5GC intrusion detection system
文献类型：期刊论文
| 作者 | Hu, Yangliu2; Sun, Qian1,3,4; Dang, Tianbin2; Wu, Guangzhi4; Tian, Lin4 |
| 刊名 | COMPUTER COMMUNICATIONS
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 247页码:15 |
| 关键词 | 5GC Dataset Threat case Intrusion detection Explainable intelligent |
| ISSN号 | 0140-3664 |
| DOI | 10.1016/j.comcom.2025.108375 |
| 英文摘要 | 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. |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001638577300001 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/42941]  |
| 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.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 2.Zhengzhou Univ, Henan Inst Adv Technol, Zhengzhou 450003, Henan, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, 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. |
入库方式： OAI收割
来源：计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。