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Author(s): Vooka Pavan Kumar

Journal: Journal of Global Research in Computer Science
ISSN 2229-371X

Volume: 2;
Issue: 7;
Start page: 10;
Date: 2011;
Original page

The term ‘peer-to-peer’ generally describes a class of systems that employ distributed resources to perform a specific function in a decentralized manner. Distributed P2P networks are widely used for file sharing and in such a scenario, a Distributed P2P network could be easily exploited by an attacker to establish a DDoS attack against any arbitrary host on the internet. Distributed denials of service (DDoS) attacks are very hard to detect and regarded as a major threat to the Internet. Though a number of techniques have been proposed to defeat DDoS attacks in Distributed P2P networks, it is still very hard to respond to flooding- based DDoS attacks due to a large number of attacking machines and the use of source- address spoofing. An efficient framework has been designed to detect and defend against DDoS attacks in Distributed Peer-to-Peer networks. It defends against attacks by considering the distance between the source ends and the victim end and also the Time-to-Live (TTL) value in IP header. The proposed system has three major components: DDoS detection, agent-based trace back, and traffic control. The agent based mechanism is used to keep track of all the node details (e.g. bandwidth, node capacity, etc). The proposed system can be evaluated on a network simulation platform called NS2. The results demonstrate that the detection techniques are capable of detecting DDoS attacks accurately, and the defence mechanism can efficiently control attack traffic in order to maintain the quality of service for legitimate traffic. Also, the framework shows better performance in defeating the DDoS attacks in Distributed P2P networks compared to the other existing techniques. Keywords- Distributed Peer-to-Peer Networks, Distributed Denial of Service Attack, Time-to-Live, Internet Protocol
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