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APNOMS
2008
Springer
14 years 27 days ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
14 years 5 months ago
Experiences on Designing an Integral Intrusion Detection System
Network Intrusion Detection Systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually foll...
Yoseba K. Penya, Pablo Garcia Bringas
RAID
2009
Springer
14 years 5 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
RAID
2007
Springer
14 years 5 months ago
Exploiting Execution Context for the Detection of Anomalous System Calls
Attacks against privileged applications can be detected by analyzing the stream of system calls issued during process execution. In the last few years, several approaches have been...
Darren Mutz, William K. Robertson, Giovanni Vigna,...
ISNN
2005
Springer
14 years 4 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
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 (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang