Network Classification for Traffic Management : Anomaly detection, feature selection, clustering and classification EPUB
by Tari Zahir Tari, Fahad Adil Fahad, Almalawi Abdulmohsen Almalawi, Yi Xun Yi
Part of the Computing and Networks series
EPUB
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Description
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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- Format:EPUB
- Pages:280 pages
- Publisher:The Institution of Engineering and Technology
- Publication Date:05/03/2020
- Category:
- ISBN:9781785619229
Information
-
Download Now
- Format:EPUB
- Pages:280 pages
- Publisher:The Institution of Engineering and Technology
- Publication Date:05/03/2020
- Category:
- ISBN:9781785619229
