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IDEAL
2010
Springer
13 years 6 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 7 months ago
Data Reduction in Intrusion Alert Correlation
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
Gianni Tedesco, Uwe Aickelin
DBSEC
2001
115views Database» more  DBSEC 2001»
13 years 9 months ago
Randomly roving agents for intrusion detection
Agent based intrusion detection systems IDS have advantages such as scalability, recon gurability, and survivability. In this paper, we introduce a mobile-agent based IDS, called ...
Ira S. Moskowitz, Myong H. Kang, LiWu Chang, Garth...
ICONIP
2004
13 years 9 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
14 years 9 months ago
ViEWNet: Visual Exploration of Region-Wide Traffic Networks
Location-based services and data mining algorithms analyzing objects moving on a complex traffic network are becoming increasingly important. In this paper, we introduce a new app...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...