Tensor-Based Online Network Anomaly Detection and Diagnosis

This paper presents an online anomaly detection system capable of handling operational network traffic of large networks (such as an ISP). We also aim for an effective and practical diagnosis of anomalies diagnosis to produce actionable intelligence that enables automated response. To achieve these...

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Bibliographic Details
Main Authors: Mehdi Shajari, Hongxiang Geng, Kaixuan Hu, Alberto Leon-Garcia
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9852451/