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DETECTION OF BRUTE FORCE ATTACKS

机译:检测蛮力攻击

摘要

The disclosed embodiments determine a plurality of anomaly indications for a plurality of corresponding time series. A multi-modal model is defined for each time series. A first distribution is compared against a time series when the time series values fall within a first range and a second distribution is compared against the time series when the time series values fall with a second range. Based on the comparison, an indication of anomaly is generated for the time series. The indicators of anomaly for each time series are then combined using Fisher's method in some embodiments. The resulting combined anomaly indication is used to determine whether a network is experiencing a brute force attack.
机译:所公开的实施例确定多个相应时间序列的多个异常指示。为每个时间序列定义多模态模型。当时间序列值落在第一范围内时,将第一分布与时间序列进行比较,并且当时间序列值落在第二范围内时,将第二分布与时间序列进行比较。基于比较,为时间序列产生异常的指示。然后在一些实施例中使用Fisher的方法将每种时间序列的异常指标组合。由此产生的组合异常指示用于确定网络是否遇到蛮力攻击。

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