M.tech Dissertation @IITR, Roorkee & MQ, Sydney:
“Implementation and Performance evaluation of an Automated model against DDoS attacks".
Credits:
A paper was accepted in International Journal of Wireless and Mobile Computing (IJWMC) on this work is going to be published soon in the year 2006.
Abstract:
In this dissertation, we implemented an automated Controller- Agent model that would greatly minimize DDoS attacks on the Internet. With a new packet marking technique and agent design, the automated model is able to identify the approximate source of attack (nearest router) with a single packet, even in the case of attacks with spoofed source addresses. Here Controller can be centralized or distributed in the network. Agents can be located at edge routers. Victim can be a server or network. The model is invoked only during attack times, is able to process the victims’ traffic separately without disturbing other traffic, is able to establish different attack signatures for different attacking sources and can prevent the attack traffic at the nearest router to the attacking system.
The results from implementation of the model using Network Simulator-2 (NS-2) showed that the automated model seems to be a promising approach to prevent DDoS attacks. It has fast response time, simple in its implementation and can be incrementally deployed. We also extended this model to Wireless Sensor networks to counteract DDoS attacks. Due to the limited energy reserves, computation power of sensor networks victim mechanism of the model is incorporated at base station associated with sensor networks.
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