Editorial Board
Traffic classification and its applications to modern networks
A nonlinear, recurrence-based approach to traffic classification
Characterizing network traffic by means of the NetMine framework
Efficient application identification and the temporal and spatial stability of classification schema
Architecture and scalability of a high-speed traffic measurement platform with a highly flexible packet classification
Scalable packet classification with controlled cross-producting
Targeting spam control on middleboxes: Spam detection based on layer-3 e-mail content classification
Profiling and identification of P2P traffic
McPAD: A multiple classifier system for accurate payload-based anomaly detection