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Network traffic anomaly detection is an important component in network security and management domains which can help to improve availability and reliability of networks. This paper proposes a flow-based anomaly detection method with the help of entropy. Using IPFIX, flow records containing multiple traffic features are collected in each time window. With entropy, joint probability space for multiple...
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