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» Autonomic Response to Distributed Denial of Service Attacks
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SIGCOMM
2003
ACM
13 years 11 months ago
A framework for classifying denial of service attacks
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- o...
Alefiya Hussain, John S. Heidemann, Christos Papad...
DISCEX
2003
IEEE
13 years 11 months ago
Analyzing Interaction Between Distributed Denial of Service Attacks And Mitigation Technologies
Under sponsorship of the Defense Advanced Research Projects Agency’s (DARPA) Fault Tolerant Networks (FTN) program, The Johns Hopkins University Applied Physics Laboratory (JHU/...
W. J. Blackert, D. M. Gregg, A. K. Castner, E. M. ...
ACSAC
2001
IEEE
13 years 9 months ago
Mitigating Distributed Denial of Service Attacks with Dynamic Resource Pricing
Distributed Denial of Service (DDoS) attacks exploit the acute imbalance between client and server workloads to cause devastation to the service providers. We propose a distribute...
David Mankins, Rajesh Krishnan, Ceilyn Boyd, John ...
CCECE
2006
IEEE
13 years 12 months ago
Detecting Distributed Denial of Service Attack Traffic at the Agent Machines
Due to financial losses caused by Distributed Denial of Service (DDoS) attacks, most defence mechanisms have been deployed at the network where the target server is located. We be...
Vicky Laurens, Abdulmotaleb El-Saddik, Pulak Dhar,...
IDEAL
2003
Springer
13 years 11 months ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...