Clustering-Based Pattern Abnormality Detection in Distributed Sensor Networks
We suggest a method of effectively detecting and classifying network traffic attacks by visualizing their IP (Internet protocol) addresses and ports and clustering the visualized ports based on their variance. The proposed approach first visualizes the IP addresses and ports of the senders and recei...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/438468 |
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