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publicationDate 2015-02-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2015052609-A1
titleOfInvention Heterogeneous sensors for network defense
abstract Heterogeneous sensors simultaneously inspect network traffic for attacks. A signature-based sensor detects known attacks but has a blind spot, and a machine-learning based sensor that has been trained to detect attacks in the blind spot detects attacks that fail to conform to normal network traffic. False positive rates of the machine-learning based sensor are reduced by iterative testing using statistical techniques.
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