Network Classification for Traffic Management

Zahir Tari is a full professor and discipline head of the School of Computer Science, RMIT University, Australia. His expertise is in the areas of system performance (e.g., cloud, IoT) as well as system security (e.g., SCADA, cloud).Adil Fahad is an assistant professor and head of the department of Computer Information Systems, University of Al Baha, Saudi Arabia. His research interests cover wireless sensor networks, mobile networks, SCADA security, ad-hoc networks, data mining, statistical analysis/modelling and machine learning.Abdulmohsen Almalawi is an assistant professor in the Department of Computer Science at the University of King Abdulaziz, Saudi Arabia. His research interests are in the areas of machine learning.Xun Yi is a professor at the School of Computer Science, RMIT University, Australia. His research interests include data privacy, cloud security, privacy-preserving data mining, network security protocols, applied cryptography, e-commerce security and mobile agent security.

• Chapter 1: IntroductionChapter 2: BackgroundChapter 3: Related workChapter 4: A taxonomy and empirical analysis of clustering algorithms for traffic classificationChapter 5: Toward an efficient and accurate unsupervised feature selectionChapter 6: Optimizing feature selection to improve transport layer statistics qualityChapter 7: Optimality and stability of feature set for traffic classificationChapter 8: A privacy-preserving framework for traffic data publishingChapter 9: A semi-supervised approach for network traffic labelingChapter 10: A hybrid clustering-classification for accurate and efficient network classificationChapter 11: Conclusion