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ePub version af Network Classification for Traffic Management af School Of Computer Science, Adil , Almalawi Abdulmohsen Almalawi

Network Classification for Traffic Management

- Anomaly detection, feature selection, clustering and classification

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  • E-bog, ePub
  • Engelsk
  • 280 sider
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Beskrivelse

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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Forfattere

School Of Computer Science Adil Almalawi Abdulmohsen Almalawi Fahad Adil Fahad Yi Xun Yi Tari Zahir Tari Abdulmohsen (Assistant Professor Almalawi University of King Abdulaziz Adil (Assistant Professor Fahad University of Al Baha Department of Computer Sci Department of Computer Information Systems Xun (Professor Yi RMIT University Zahir (Full Professor Tari RMIT University

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Computer networking & communications Network management