异常检测
计算机科学
能见度
正态性
人工智能
机器学习
异常(物理)
数据挖掘
地理
统计
数学
物理
凝聚态物理
气象学
作者
Alexander Dietmüller,Georgia Fragkouli,Laurent Vanbever
标识
DOI:10.1145/3603269.3610837
摘要
Anomaly detection is an essential building block of many applications, including DDoS detection, root cause analysis, traffic estimation, and change detection. A vital part of detecting anomalies is establishing a sense of normality, e.g., by learning distributions for various features from benign traffic. Learning these distributions in the control plane requires coping with the limited visibility of sampling; learning distributions in the data plane requires relying on simplistic techniques because of hardware constraints.
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