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ORCIDBig-DAMA@CoNEXT 2019: Orlando, FL, USA
- Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, Big-DAMA@CoNEXT 2019, Orlando, FL, USA, December 9, 2019. ACM 2019, ISBN 978-1-4503-6999-2
AI/ML for Network Security and Intrusion Detection
- Luigi Gallo, Alessio Botta, Giorgio Ventre:
Identifying threats in a large company's inbox. 1-7 - Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby:
Walling up Backdoors in Intrusion Detection Systems. 8-13 - Mohammad J. Hashemi, Greg Cusack, Eric Keller:
Towards Evaluation of NIDSs in Adversarial Setting. 14-21
AI/ML for Network Traffic Analysis
- Andrea Morichetta
, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. 22-28 - Sayantan Chowdhury, Ben Liang, Ali Tizghadam:
Explaining Class-of-Service Oriented Network Traffic Classification with Superfeatures. 29-34
AI/ML for Network Anomaly Detection
- Odnan Ref Sanchez, Simone Ferlin, Cristel Pelsser, Randy Bush:
Comparing Machine Learning Algorithms for BGP Anomaly Detection using Graph Features. 35-41 - Randeep Bhatia, Steven A. Benno, Jairo O. Esteban, T. V. Lakshman, John Grogan:
Unsupervised machine learning for network-centric anomaly detection in IoT. 42-48
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