Traffic anomaly detection using a distributed measurement network
نویسنده
چکیده
This report focuses on the relationship between traffic anomalies and the data collected by the RIPE Atlas measurement network. Two distinct vectors of research are used: first, a ground-truth search which looks to see in what degree real-life network events reflect in the RIPE Atlas data, and second, the collected data is analyzed to find the time and location where several probes’ measurements in a certain network or geographical area yield abnormal results. The ground-truth events searched are not found with a good degree of confidence in the Atlas data and the possible reasons are detailed in the paper. The data analysis uses control charts to map the deviations from the mean of each probe. Two methods for aggregating the results in a certain area are then proposed.
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