상세정보
학술대회
Network Anomaly Detection based on Domain Adaptation for 5G Network Security
- 발행일
- 202210
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.976-980
- 협약과제
- 22HR2400, 5G＋ 서비스 안정성 보장을 위한 엣지 시큐리티 기술 개발, 박종근
- 초록
- Currently, research on 5G communication is focusing increasingly on communication techniques. The previous studies have primarily focused on the prevention of communications disruption. To date, there has not been sufficient research on network anomaly detection as a countermeasure against on security aspect. 5g network data will be more complex and dynamic, intelligent network anomaly detection is necessary solution for protecting the network infrastructure. However, since the AI-based network anomaly detection is dependent on data, it is difficult to collect the actual labeled data in the industrial field. Also, the performance degradation in the application process to real field may occur because of the domain shift. Therefore, in this paper, we research the intelligent network anomaly detection technique based on domain adaptation (DA) in 5G edge network in order to solve the problem caused by data-driven AI. It allows us to train the models in data-rich domains and apply detection techniques in insufficient amount of data. For Our method will contribute to AI-based network anomaly detection for improving the security for 5G edge network.
- KSP 제안 키워드
- 5G Network, 5G communications, Data-Driven, Edge network, Labeled data, Network Data, Network anomaly detection, detection techniques, domain adaptation, intelligent network, network infrastructure