Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies
IEEE Transactions on Dependable and Secure Computing
Invited Talk: Sketch Based Anomaly Detection, Identification and Performance Evaluation
SAINT-W '07 Proceedings of the 2007 International Symposium on Applications and the Internet Workshops
Proceedings of the 2007 workshop on Large scale attack defense
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Goals. Internet traffic statistical monitoring received a considerable amount of efforts, resulting in a plethora of publications and tools that can however hardly be objectively compared, as prerequisites, goals, costs and performances are often non systematically or barely reported. In this context, the present note aims at providing the readers with an overview of the reasons for and the benefits stemming from the combined used of multiresolution analysis and random projections (sketches) in Internet traffic statistical monitoring as well as at reviewing key issues involved in elaborating any scientific benchmarking framework. Let us first consider the analysis of IP Pkt or byte aggregated time series.