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WORM
2004
13 years 9 months ago
Toward understanding distributed blackhole placement
The monitoring of unused Internet address space has been shown to be an effective method for characterizing Internet threats including Internet worms and DDOS attacks. Because the...
Evan Cooke, Michael Bailey, Zhuoqing Morley Mao, D...
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
13 years 11 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
IMC
2010
ACM
13 years 5 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
13 years 12 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
CCECE
2006
IEEE
14 years 1 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,...