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Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data.

, , , , , , и . INFOCOM Workshops, стр. 1-2. IEEE, (2018)

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Andrian Pramudji

Stefanie Andrian

Giorgio Andrian

Rotraut Andrian-Werburg

Andrian Petrov Milanov

 

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Telemetry-based stream-learning of BGP anomalies., , , , , , и . Big-DAMA@SIGCOMM, стр. 15-20. ACM, (2018)Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data., , , , , , и . INFOCOM Workshops, стр. 1-2. IEEE, (2018)Random Histogram Forest for Unsupervised Anomaly Detection., , , и . ICDM, стр. 1226-1231. IEEE, (2020)STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams., , , , , , и . AICCSA, стр. 1-8. IEEE, (2022)Online Anomaly Detection Leveraging Stream-Based Clustering and Real-Time Telemetry., и . IEEE Trans. Netw. Serv. Manag., 18 (1): 839-854 (2021)UMAP: Urban mobility analysis platform to harvest car sharing data., , , , , , и . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, стр. 1-8. IEEE, (2017)AutoAD: an Automated Framework for Unsupervised Anomaly Detection, , , и . DSAA 2022 - IEEE International Conference on Data Science and Advanced Analytics, Paris / Virtual Event, France, (октября 2022)AutoML: state of the art with a focus on anomaly detection, challenges, and research directions., , , и . Int. J. Data Sci. Anal., 14 (2): 113-126 (2022)Unsupervised anomaly detection: methods and applications. (Détection d'anomalies non supervisée: méthodes et applications).. Polytechnic Institute of Paris, Palaiseau, France, (2022)AutoAD: an Automated Framework for Unsupervised Anomaly Detectio., , , и . DSAA, стр. 1-10. IEEE, (2022)