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- W2212201601 abstract "In terms of IP networks, anomalies are unusual and significant changes in a network’s traffic level. At the present, researchers work to find methods that help detect anomalies efficiently. In this report, we explore two methods for detection. First, we see how the subspace method can be used to detect anomalies in the following different types of traffic flows: byte counts, packets counts and IP-flow counts. Next, we see how Benford’s law is used to detect anomalies in inter-arrival SYN flow packets. Then, we make an implementation which separates and identify IP numbers that generated the most traffic in a network. Another implementation was made with the use of the Benford’s law. These methods detect anomalies and do not offer a description, nor a type of it." @default.
- W2212201601 created "2016-06-24" @default.
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- W2212201601 date "2015-05-23" @default.
- W2212201601 modified "2023-09-23" @default.
- W2212201601 title "Techniques for Anomaly Detection in Network Flows" @default.
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- W2212201601 doi "https://doi.org/10.6084/m9.figshare.1424475.v1" @default.
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