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Contribution à la modélisation et à la détection d'anomalies du traffic Internet à partir de mesures d'un coeur de réseau opérateur

Abstract : Inter-domain routing statistics are not usually publicly available but with the partnership with Post Luxembourg, we deployed a network wide measurements of Internet traffic. Those statistics show clear daily and weekly pattern and several points of interest. From all the information gathered, two modelling approach were chosen: the first one from the time series domain and the second one from the machine learning approach. Both were tested on several dataset of autonomous systems and the second one, Gaussian Process, was kept for the next steps. The proposal of this study is the development of a software solution called ANODE, which is used at Post Luxembourg, allowing the analysis of backbone traffic: measurments, modelling, forecasting and anomaly detection
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https://tel.archives-ouvertes.fr/tel-01865546
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Submitted on : Friday, August 31, 2018 - 5:02:05 PM
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Quentin Grandemange. Contribution à la modélisation et à la détection d'anomalies du traffic Internet à partir de mesures d'un coeur de réseau opérateur. Automatique / Robotique. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0061⟩. ⟨tel-01865546⟩

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