Big-DAMA@CoNEXT

Publications

2019

Andrea Morichetta, Pedro Casas, Marco Mellia
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT (2019)
Mohammad J. Hashemi, Greg Cusack, Eric Keller
Towards Evaluation of NIDSs in Adversarial Setting. Big-DAMA@CoNEXT (2019)
Randeep Bhatia, Steven A. Benno, Jairo O. Esteban, T. V. Lakshman, John Grogan
Unsupervised machine learning for network-centric anomaly detection in IoT. Big-DAMA@CoNEXT (2019)
Sayantan Chowdhury, Ben Liang, Ali Tizghadam
Explaining Class-of-Service Oriented Network Traffic Classification with Superfeatures. Big-DAMA@CoNEXT (2019)
Odnan Ref Sanchez, Simone Ferlin, Cristel Pelsser, Randy Bush
Comparing Machine Learning Algorithms for BGP Anomaly Detection using Graph Features. Big-DAMA@CoNEXT (2019)
Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby
Walling up Backdoors in Intrusion Detection Systems. Big-DAMA@CoNEXT (2019)
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. Big-DAMA@CoNEXT (2019)
Luigi Gallo, Alessio Botta, Giorgio Ventre
Identifying threats in a large company's inbox. Big-DAMA@CoNEXT (2019)