Detection and classification of network traffic anomalies

Johan Mazel, National Institute of Informatics, Tokyo, Japan
Mercredi 8 juin 2016 à 11h, salle 24-25/405
Abstract
Internet plays a central role in our lives. However, it is an extremely diverse and complex system. Ranging from non-malicious unexpected events such as flash-crowds and failures, to network attacks such as denials-of-service and network scans, network traffic anomalies can have serious detrimental effects on the performance and integrity of the network. Anomaly detection is thus paramount in order to guarantee users' access to Internet resources. In this talk, we will address recent advances in network traffic anomaly detection and classification, that leverage graph analysis techniques, machine learning techniques and big data.
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