Telemetry-based stream-learning of network anomalies

We are happy to share with the community our latest effort on unsupervised  stream learning of network anomalies!

We are releasing all code and dataset of our recent ACM SIGCOMM BigDAMA’18 and IEEE INFOCOM publications, in particular

References

[ACM SIGCOMM BigDama’18] Putina, Andrian and Rossi, Dario and Bifet, Albert and Barth, Steven and Pletcher, Drew and Precup, Cristina and Nivaggioli, Patrice, Telemetry-based stream-learning of BGP anomalies ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA’18) aug. 2018

[IEEE INFOCOM’18] Putina, Andrian and Rossi, Dario and Bifet, Albert and Barth, Steven and Pletcher, Drew and Precup, Cristina and Nivaggioli, Patrice, Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data IEEE INFOCOM, Demo Session apr. 2018,