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IEEEIAS
2008
IEEE
13 years 11 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
WAC
2005
Springer
118views Communications» more  WAC 2005»
13 years 10 months ago
Experiments on the Automatic Evolution of Protocols Using Genetic Programming
Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design t...
Lidia Yamamoto, Christian F. Tschudin
ASIAMS
2008
IEEE
13 years 11 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
AIR
2005
99views more  AIR 2005»
13 years 5 months ago
Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...
Ronan Cummins, Colm O'Riordan
IJON
2006
146views more  IJON 2006»
13 years 5 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang