Maneuvered Network Traffic Profiling
C. Aravindan, Terrance Frederick Fernandez, O. Bhuvaneswari · Apple Academic Press eBooks · 2022
The significance of network technology rise with the users exigencies upon cyberspace. Internet Traffic Management (ITM) system is responsible for monitoring and analyzing the incoming and outgoing traffic over the internet. Since the flow of traffic over network is spoofed, the packet dropping transpire due to the high volume of request to the user commending a breach into the network. Upon such scenarios, traffic classification over the network falters so as to group the spoofed traffic. In order to overcome the classification problem for the spoofed traffic, we propose a method 0/1 Game Theory (GT). In our proposal, a decision making system is introduced for classifying and defending against the spoofed traffic on basis of payload traffic. Our analysis grass-roots from real time traffic and scenario based approach on payload; an optimal strategy that is procured applying Nash equilibrium. We carried out our experiments to exhibit the potency of our methodology.