Sciweavers

12 search results - page 1 / 3
» Machine Learning for Automatic Defence Against Distributed D...
Sort
View
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 9 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
BCS
2008
13 years 6 months ago
Distributed Defence Against Denial of Service Attacks: A Practical View
In recent years, Denial of Service attacks have evolved into a predominant network security threat. In our previous work, we identified the necessary building blocks for an effect...
Gülay Öke, Georgios Loukas
IADIS
2004
13 years 6 months ago
End to End Defence Against DDoS Atacks
Denial of Service (DoS) attacks and Distributed Denial of Service (DDoS) attacks accounted for more losses than Internet financial fraud and viruses combined (CSI/FBI 2003). The I...
Anastasia Gemona, Ishbel Duncan, Colin Allison, Al...
CCECE
2006
IEEE
13 years 10 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,...