2022 · 15 citations · 19 references
ComputingCybersecurityInformation TechnologyComputer SecurityNetwork SecurityWireless SecurityAnomaly DetectionCellular Network SecurityMobile Network SecurityNetwork Traffic AnalysisSuspicious Activity DetectionWireless Network Security5G Network Security5G SecurityAnomaly Detection In Wireless NetworksNetwork AnalyticsNetwork Anomaly DetectionNetwork FunctionsNetwork Traffic Anomaly DetectionWireless Traffic Analysis
Data analytics is regarded as an important function of 5G networks. The Network Data Analytics Function (NWDAF) is standardized in 3GPP to enhance 5G network performance by analyzing data from network functions and user equipment. Abnormal behavior detection, which is part of the NWDAF framework, has the potential to be a powerful tool to improve 5G network security. Despite this, only limited research has been conducted in the area so far. This paper explains abnormal behavior detection in NWDAF specified in 3GPP. Furthermore, we extensively review the related work and summarize open problems and provide possible future research directions.
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Deep Anomaly Detection with Deviation Networks
Guansong Pang, Chunhua Shen, Anton van den Hengel · 2019 · 439 citations · Full text
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal et al. · arXiv (Cornell University) · 2018 · 387 citations · Full text