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- W2793583633 abstract "Detecting unusual values from large volumes of information produced by network traffic has acquired considerable interest in the network security area. Having a system of detecting anomalous events in a time near their occurrence, it is important for all computer systems in a network. Detecting anomalous values can lead network administrators to identify system failures, take preventative actions and avoid a massive spread. Anomaly detection is a starting point to prevent attacks. In this article, we present a form of data pre-processing to identify anomalies using a supervised classification algorithm, image processing, parallel computing techniques and Graphical Processing Units." @default.
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- W2793583633 date "2018-01-01" @default.
- W2793583633 modified "2023-09-27" @default.
- W2793583633 title "An Anomaly Detection Model in a LAN Using K-NN and High Performance Computing Techniques" @default.
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- W2793583633 doi "https://doi.org/10.1007/978-3-319-75214-3_21" @default.
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