Detecting network anomalies by probabilistic modeling of argument strings with markov chains
First Claim
1. A method for detecting network anomalies, the method comprising:
- receiving, using a hardware processor, a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network;
determining, using the hardware processor, whether the communication protocol message is anomalous based on n-grams in the argument string by applying a probabilistic model that uses at least one Markov chain to generate a score that indicates a deviation of the argument string of the communication protocol message from previously received communication protocol messages and determining whether the score is greater than a threshold value; and
performing, using the hardware processor, a predetermined action in response to determining that the communication protocol message is anomalous.
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Abstract
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.
33 Citations
21 Claims
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1. A method for detecting network anomalies, the method comprising:
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receiving, using a hardware processor, a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; determining, using the hardware processor, whether the communication protocol message is anomalous based on n-grams in the argument string by applying a probabilistic model that uses at least one Markov chain to generate a score that indicates a deviation of the argument string of the communication protocol message from previously received communication protocol messages and determining whether the score is greater than a threshold value; and performing, using the hardware processor, a predetermined action in response to determining that the communication protocol message is anomalous. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for detecting network anomalies, the system comprising:
a hardware processor that is configured to; receive a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; determine whether the communication protocol message is anomalous based on n-grams in the argument string by applying a probabilistic model that uses at least one Markov chain to generate a score that indicates a deviation of the argument string of the communication protocol message from previously received communication protocol messages and determining whether the score is greater than a threshold value; and perform a predetermined action in response to determining that the communication protocol message is anomalous. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform method for detecting network anomalies, the method comprising:
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receiving, using a hardware processor, a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; determining, using the hardware processor, whether the communication protocol message is anomalous based on n-grams in the argument string by applying a probabilistic model that uses at least one Markov chain to generate a score that indicates a deviation of the argument string of the communication protocol message from previously received communication protocol messages and determining whether the score is greater than a threshold value; and performing, using the hardware processor, a predetermined action in response to determining that the communication protocol message is anomalous.
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Specification