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Detection and Mitigation of High and Low Rate DDOS Attack on SDN Using Traffic Behaviour and Game Theory

Sharma, Vikas (2019) Detection and Mitigation of High and Low Rate DDOS Attack on SDN Using Traffic Behaviour and Game Theory. Masters thesis, Dublin, National College of Ireland.

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Abstract

A new lightweight system to detect and mitigate low and high rate DDOS attacks on SDN by analysing traffic flow count and game theory model. The model is comprised of two layers, one for detection and layer two performs the mitigation. Detection is carried out by analysing the flow and mitigation is carried by blocking the IP address or forwarding the packets towards the honeypot. The system needs to be implemented at gate way point of software defined network and analyse the traffic before entering the network and mitigate the detected attacks. The system can detect low and high rate DDOS attacks for network and application layer of TCP/IP network topology. The experimental system has been evaluated by setting up virtual machines and results show that system can detect the high rate, low rate DDOS attack from spoofed IP address and can mitigate the attack by blocking the IP or routing the traffic towards the honeypot.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 15 Oct 2019 11:42
Last Modified: 15 Oct 2019 11:42
URI: http://trap.ncirl.ie/id/eprint/3899

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