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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2015
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/12716/ http://umpir.ump.edu.my/id/eprint/12716/ 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 |