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Network Classification for Traffic Management

Anomaly detection, feature selection, clustering and classification

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers The Institution of Engineering and Technology, March 2020
With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities fr... Full description
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With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks.

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About the book

Full name Network Classification for Traffic Management
Author Zahir Tari, Adil Fahad, Abdulmohsen Almalawi, Xun Yi
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2020
EAN 9781837246397
Libristo code 49627407
Publishers The Institution of Engineering and Technology

Categories

Computing & Information Technology > Computer networking & communications > Network management
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