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IDEAL
2003
Springer
13 years 10 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...
ICC
2007
IEEE
133views Communications» more  ICC 2007»
13 years 11 months ago
Machine Learning for Automatic Defence Against Distributed Denial of Service Attacks
— Distributed Denial of Service attacks pose a serious threat to many businesses which rely on constant availability of their network services. Companies like Google, Yahoo and A...
Stefan Seufert, Darragh O'Brien
WETICE
2002
IEEE
13 years 10 months ago
Honeypots for Distributed Denial of Service Attacks
Distributed Denial-of-Service attacks are still a big threat to the Internet. Several proposals for coping with the attacks have been made in the recent past, but neither of them ...
Nathalie Weiler
SEC
2007
13 years 6 months ago
A Survey of Bots Used for Distributed Denial of Service Attacks
Abstract. In recent years, we have seen the arrival of Distributed Denial-ofService (DDoS) open-source bot-based attack tools facilitating easy code enhancement, and so resulting i...
Vrizlynn L. L. Thing, Morris Sloman, Naranker Dula...
CCECE
2006
IEEE
13 years 11 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,...