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» Utilizing Neural Networks For Effective Intrusion Detection
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EUC
2007
Springer
13 years 11 months ago
Parallel Network Intrusion Detection on Reconfigurable Platforms
With the wide adoption of internet into our everyday lives, internet security becomes an important issue. Intrusion detection at the network level is an effective way of stopping m...
Chun Xue, Zili Shao, Meilin Liu, Qingfeng Zhuge, E...
IEEEIAS
2008
IEEE
14 years 1 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 ...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 11 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ADHOCNETS
2009
Springer
14 years 2 months ago
Building Intrusion Detection with a Wireless Sensor Network
Abstract. This paper addresses the detection and reporting of abnormal building access with a wireless sensor network. A common office room, offering space for two working persons...
Markus Wälchli, Torsten Braun
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 8 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....