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RAID
2007
Springer
14 years 1 months ago
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 7 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
CCR
2004
168views more  CCR 2004»
13 years 7 months ago
Coping with irregular spatio-temporal sampling in sensor networks
Wireless sensor networks have attracted attention from a diverse set of researchers, due to the unique combination of distributed, resource and data processing constraints. Howeve...
Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang, De...
ICML
2002
IEEE
14 years 8 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
HOTI
2005
IEEE
14 years 1 months ago
SIFT: Snort Intrusion Filter for TCP
Intrusion rule processing in reconfigurable hardware enables intrusion detection and prevention services to run at multi Gigabit/second rates. High-level intrusion rules mapped d...
Michael Attig, John W. Lockwood