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On the Internet, high-rate flows that do not obey the TCP flow control mechanism can consume a large share of the link bandwidth and seriously affect other flows. Therefore, identifying high-rate flows is important for active queue management, traffic measurement and network security. Explicit measurement of high-rate flows is difficult because tracking the possible millions of flows needs correspondingly...
This paper develops a new approach for detecting abnormal email traffic in backbone network by using an extended finite state automata (EFSA) model. Our idea is that bad email server configuration, network attack, and spamware usually generate special or abnormal packets, which are often reflected by the characterization of email traffic. Therefore, we process these traffic data by selecting some...
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