TY - GEN
T1 - Degree-Based Outliers Detection Within IP Traffic Modelled as a Link Stream
AU - Wilmet, Audrey
AU - Viard, Tiphaine
AU - Latapy, Matthieu
AU - Lamarche-Perrin, Robin
N1 - Publisher Copyright:
© 2018 IFIP.
PY - 2018/10/23
Y1 - 2018/10/23
N2 - Precise detection and identification of anomalous events in IP traffic are crucial in many applications. This paper intends to address this task by adopting the link stream formalism which properly captures temporal and structural features of the data. Within this framework we focus on finding anomalous behaviours with the degree of IP addresses over time. Due to diversity in IP profiles, this feature is typically distributed heterogeneously, preventing us to find anomalies. To deal with this challenge, we design a method to detect outliers as well as precisely identify their cause in a sequence of similar heterogeneous distributions. We apply it to a MAWI capture of IP traffic and we show that it succeeds at detecting relevant patterns in terms of anomalous network activity.
AB - Precise detection and identification of anomalous events in IP traffic are crucial in many applications. This paper intends to address this task by adopting the link stream formalism which properly captures temporal and structural features of the data. Within this framework we focus on finding anomalous behaviours with the degree of IP addresses over time. Due to diversity in IP profiles, this feature is typically distributed heterogeneously, preventing us to find anomalies. To deal with this challenge, we design a method to detect outliers as well as precisely identify their cause in a sequence of similar heterogeneous distributions. We apply it to a MAWI capture of IP traffic and we show that it succeeds at detecting relevant patterns in terms of anomalous network activity.
U2 - 10.23919/TMA.2018.8506575
DO - 10.23919/TMA.2018.8506575
M3 - Conference contribution
AN - SCOPUS:85054332066
T3 - TMA 2018 - Proceedings of the 2nd Network Traffic Measurement and Analysis Conference
BT - TMA 2018 - Proceedings of the 2nd Network Traffic Measurement and Analysis Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Network Traffic Measurement and Analysis Conference, TMA 2018
Y2 - 26 June 2018 through 29 June 2018
ER -