Predicting network traffic anomalies in Denial-of- service attacks – a nonlinear approach

Predicting network traffic anomalies in Denial-of- service attacks – a nonlinear approach

The amount of data moving across the network at any given time is referred to as network traffic. It is the data units that are encapsulated in packets and sent over a network. Denial-of-Service (DDoS) attacks are various attempts to disrupt typical network, service, or server traffic. DDoS attacks...

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Bibliographic Details
Main Authors: Ding, Wei Lau, Po, Hung Lai, Yu, Beng Leau, Soo, Fun Tan
Format: Proceedings
Language:English
English
Published: Institute of Electrical and Electronics Engineers 2021
Subjects:
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:https://eprints.ums.edu.my/id/eprint/32531/1/Predicting%20network%20traffic%20anomalies%20in%20Denial-of-%20service%20attacks%20%E2%80%93%20a%20nonlinear%20approach.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32531/2/Predicting%20network%20traffic%20anomalies%20in%20denial-of-service%20attacks%20-%20a%20nonlinear%20approach.pdf

Internet

https://eprints.ums.edu.my/id/eprint/32531/1/Predicting%20network%20traffic%20anomalies%20in%20Denial-of-%20service%20attacks%20%E2%80%93%20a%20nonlinear%20approach.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32531/2/Predicting%20network%20traffic%20anomalies%20in%20denial-of-service%20attacks%20-%20a%20nonlinear%20approach.pdf

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