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Method and system for anomaly detection using a collective set of unsupervised machine-learning algorithms
Method and system for anomaly detection using a collective set of unsupervised machine-learning algorithms
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机译：使用一组无监督的机器学习算法进行异常检测的方法和系统
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摘要
An anomaly detection system comprising, one or more distributed sensors for gathering network or log data; one or more generators for generating discovery rules based on a collective set of pattern discovery algorithms including one or more unsupervised machine learning algorithms; one or more detectors for detecting abnormal patterns in the network or log data gathered by the sensors based on the discovery rules generated by the generator; and one or more correlation engine for determining intrusion counter measures based on matching features of one or more detected abnormal patterns with correlation rules.
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