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System and method for detecting anomalies including detection and removal of outliers associated with network traffic to cloud applications
System and method for detecting anomalies including detection and removal of outliers associated with network traffic to cloud applications
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机译：用于检测异常的系统和方法，包括检测和消除与到云应用程序的网络流量相关的异常值
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摘要
An anomaly detection system is provided and includes a processor, a memory and a security application stored in the memory and including instructions. The instructions are for collecting behavior data corresponding to users of an organization accessing cloud applications. The behavior data includes parameters tracked over time for the users. The instructions are for: creating a first model based on the behavior data tracked for the users; creating a second model corresponding to a first user based on the parameters tracked for the users except the first user, where the second model excludes behavior data pertaining to the first user; scoring the second model based on the first model to generate a first score; determining whether the first user is an outlier based on the first score; and removing the behavior data corresponding to the first user from the first model if the first user is an outlier.
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