Filtration Model for the Detection of Malicious Traffic in Large-Scale Networks

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Filtration Model for the Detection of Malicious Traffic in Large-Scale Networks

This study proposes a capable, scalable, and reliable edge-to-edge model for filtering malicious traffic through real-time monitoring of the impact of user behavior on quality of service (QoS) regulations. The model investigates user traffic, including that injected through distributed gateways and...

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Bibliographic Details
Main Authors:	Ahmed, Abdulghani Ali, Aman, Jantan, Wan, Tat-Chee
Format:	Article
Language:	English
Published:	Elsevier 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/12716/ http://umpir.ump.edu.my/id/eprint/12716/1/Filtration%20Model%20for%20the%20Detection%20Of%20Malicious%20Traffic%20In%20Large-Scale%20Networks.pdf

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