Network classification for traffic management : anomaly detection, feature selection, clustering and classification

• Main Authors: Tari, Zahir, 1961- (Author), Fahad, Adil, (Author), Almalawi, Abdulmohsen, (Author), Yi, Xun (College teacher), (Author)
• Format: eBook
• Language: English
• Published: Stevenage : Institution of Engineering and Technology, 2020.
• Series: IET computing series ; 32.
• Subjects: Telecommunication > Traffic > Management.; Computer network protocols > Management.; elektronické knihy; electronic books
• ISBN: 1785619225; 9781785619229; 1785619217; 9781785619212
• Physical Description: 1 online resource : illustrations
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

The book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. It deals with the following subjects: traffic management; anomaly detection; clustering algorithms; unsupervised feature selection; transport layer statistics quality; feature set; privacy preserving framework for traffic data publishing; semi-supervised approach for network traffic labelling; and hybrid clustering-classification.