output
20172022
most citedDetecting Network Disruptions At Colocation Facilities

7 citations

5 papers

cs.NI2022★ 2 cited

Global Internet public peering capacity of interconnection: a complex network analysis

Justin Loye, Sandrine Mouysset, Marc Bruyère +1

A massive and growing part of Autonomous System (AS)-level traffic exchanges takes place at Internet Exchange Points (IXPs). This paper leverages PeeringDB, a database providing a…

cs.NI2021★ 2 cited

Classifying DNS Servers based on Response Message Matrix using Machine Learning

Keiichi Shima, Ryo Nakamura, Kazuya Okada +3

Improperly configured domain name system (DNS) servers are sometimes used as packet reflectors as part of a DoS or DDoS attack. Detecting packets created as a result of this activi…

cs.AI2020★ 3 cited

Learning Interpretable Error Functions for Combinatorial Optimization Problem Modeling

Florian Richoux, Jean-François Baffier

In Constraint Programming, constraints are usually represented as predicates allowing or forbidding combinations of values. However, some algorithms exploit a finer representation:…

cs.NI2019★ 7 cited

Detecting Network Disruptions At Colocation Facilities

Alexandros Milolidakis, Romain Fontugne, Xenofontas Dimitropoulos

Colocation facilities and Internet eXchange Points (IXPs) provide neutral places for concurrent networks to daily exchange terabytes of data traffic. Although very reliable, these…

cs.NI2017★ 4 cited

Scaling in Internet Traffic: a 14 year and 3 day longitudinal study, with multiscale analyses and random projections

Romain Fontugne, Patrice Abry, Kensuke Fukuda +4

In the mid-90's, it was shown that the statistics of aggregated time series from Internet traffic departed from those of traditional short range dependent models, and were instead…