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IDEAL
2010
Springer
15 years 2 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...
IWINAC
2005
Springer
15 years 9 months ago
MEPIDS: Multi-Expression Programming for Intrusion Detection System
Abstract. An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been ...
Crina Grosan, Ajith Abraham, Sang-Yong Han
143
Voted
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 4 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
137
Voted
CCS
2007
ACM
15 years 10 months ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen
JSW
2008
164views more  JSW 2008»
15 years 3 months ago
Constraint-based Trend Template for Intrusion Detection
Intrusion detection systems (IDS) are special computer security tools which help detect intrusion attempts. Misuse based detection is one of the techniques which is used by IDS to ...
Md. Ahsan Habib, Krisna Prasad Pawdel, Mohammad Ra...