Monitoring the Macroscopic Effect of DDoS Flooding Attacks
IEEE Transactions on Dependable and Secure Computing
Generic denial of service prevention through a logical fibering algorithm
ISP'06 Proceedings of the 5th WSEAS International Conference on Information Security and Privacy
An analytical model for on-chip interconnects in multimedia embedded systems
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on ESTIMedia'10
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Proposes a coordinated defense scheme of distributed denial of service (DDoS) network attacks, based on the backward-propagation, on-off control strategy. When a DDoS attack is in effect, a high concentration of malicious packet streams are routed to the victim in a short time, making it a hot spot. A similar problem has been observed in multiprocessor systems, where a hot spot is formed when a large number of processors access simultaneously shared variables in the same memory module. Despite the similar terminologies used here, solutions for multiprocessor hot spot problems cannot be applied to that in the Internet, because the hot traffic in DDoS may only represent a small fraction of the Internet traffic, and the attack strategies on the Internet are far more sophisticated than that in the multiprocessor systems. The performance impact on the hot spot is related to the total hot packet rate that can be tolerated by the victim. We present a backward pressure propagation, feedback control scheme to defend DDoS attacks. We use a generic network model to analyze the dynamics of network traffic, and develop the algorithms for rate-based and queue-length-based feedback control. We show a simple design to implement our control scheme on a practical switch queue architecture