Feb. 16, 2024, 5:43 a.m. | Emanuele Mengoli, Zhiyuan Yao, Wutao Wei

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10085v1 Announce Type: cross
Abstract: Anomaly detection plays a crucial role in ensuring network robustness. However, implementing intelligent alerting systems becomes a challenge when considering scenarios in which anomalies can be caused by both malicious and non-malicious events, leading to the difficulty of determining anomaly patterns. The lack of labeled data in the computer networking domain further exacerbates this issue, impeding the development of robust models capable of handling real-world scenarios. To address this challenge, in this paper, we propose …

abstract anomaly anomaly detection arxiv challenge computer cs.lg cs.ni data detection events intelligent network networking patterns robustness role systems type

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