“Traffic Analysis with Off-the-Shelf Hardware: Challenges and Lessons Learned”
“Machine Learning based Prediction of Internet Path Dynamics”
“(Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data”
“When Smartphones become the Enemy: Unveiling Mobile Apps Anomalies through Clustering Techniques”
“CLUE: Clustering for Mining Web URLs”
We are presenting 3 papers at the IEEE TRAC workshop.
“Grasping Popular Applications in Cellular Networks with Big Data Analytics Platforms”
“DBStream: a Holistic Approach to Large-scale Network Traffic Monitoring and Analysis”
We are presenting the Big-DAMA project at the ACM SIGCOMM LANCOMM workshop 2016 in August!
“Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks”