Goodness-of-fit techniques
Defeating Distributed Denial of Service Attacks
IT Professional
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Honeypots for Distributed Denial of Service Attacks
WETICE '02 Proceedings of the 11th IEEE International Workshops on Enabling Technologies: nfrastructure for Collaborative Enterprises
On the Distribution of Round-Trip Delays in TCP/IP Networks
LCN '99 Proceedings of the 24th Annual IEEE Conference on Local Computer Networks
Low-rate TCP-targeted denial of service attacks: the shrew vs. the mice and elephants
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
NOMAD: Traffic-based Network Monitoring Framework for Anomaly Detection
ISCC '99 Proceedings of the The Fourth IEEE Symposium on Computers and Communications
DDoS attacks and defense mechanisms: classification and state-of-the-art
Computer Networks: The International Journal of Computer and Telecommunications Networking
A taxonomy of DDoS attack and DDoS defense mechanisms
ACM SIGCOMM Computer Communication Review
Defending Against Low-Rate TCP Attacks: Dynamic Detection and Protection
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Defense against low-rate TCP-targeted denial-of-service attacks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
Distributed mechanism in detecting and defending against the low-rate TCP attack
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the convolution of Pareto and gamma distributions
Computer Networks: The International Journal of Computer and Telecommunications Networking
On remote exploitation of TCP sender for low-rate flooding denial-of-service attack
IEEE Communications Letters
Mathematical model for low-rate DoS attacks against application servers
IEEE Transactions on Information Forensics and Security
DDoS attack detection method based on linear prediction model
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Defense techniques for low-rate DoS attacks against application servers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Flow level detection and filtering of low-rate DDoS
Computer Networks: The International Journal of Computer and Telecommunications Networking
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This paper presents a low-rate DoS attack that could be launched against iterative servers. Such an attack takes advantage of the vulnerability consisting in the possibility of forecasting the instant at which an iterative server will generate a response to a client request. This knowledge could allow a potential intruder to overflow application buffers with relatively low-rate traffic to the server, thus avoiding the usual DoS IDS detection techniques. Besides the fundamentals of the attack, the authors also introduce a mathematical model for evaluating the efficiency of this kind of attack. The evaluation is contrasted with both simulated and real implementations. Some variants of the attack are also studied. The overall results derived from this work show how the proposed low-rate DoS attack could cause an important negative impact on the performance of iterative servers.