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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2015
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/12716/1/Filtration%20Model%20for%20the%20Detection%20Of%20Malicious%20Traffic%20In%20Large-Scale%20Networks.pdf http://umpir.ump.edu.my/id/eprint/12716/ http://dx.doi.org/10.1016/j.comcom.2015.10.012 |
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Institution: | Universiti Malaysia Pahang |
Language: | English |