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Detecting network anomalies by probabilistic modeling of argument strings with markov chains
Detecting network anomalies by probabilistic modeling of argument strings with markov chains
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机译:通过使用Markov链对参数字符串进行概率建模来检测网络异常
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摘要
Systems, methods, and media for detecting network anomalies are provided. In some embodiments, a training dataset of communication protocol messages having argument strings is received. The content and structure associated with each of the argument strings is determined and a probabilistic model is trained using the determined content and structure of each of the argument strings. A communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network is received. The received communication protocol message is compared to the probabilistic model and then it is determined whether the communication protocol message is anomalous.
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