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» A High-Performance Network Intrusion Detection System
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ISNN
2005
Springer
14 years 1 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
IWIA
2003
IEEE
14 years 1 months ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
COMCOM
2002
189views more  COMCOM 2002»
13 years 7 months ago
Intrusion detection techniques and approaches
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...
Theuns Verwoerd, Ray Hunt
CCS
2010
ACM
13 years 8 months ago
Dialog-based payload aggregation for intrusion detection
Network-based Intrusion Detection Systems (IDSs) such as Snort or Bro that have to analyze the packet payload for all the received data show severe performance problems if used in...
Tobias Limmer, Falko Dressler
ICEIS
2008
IEEE
14 years 2 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya