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Soft Computing Models for Network Intrusion Detection Systems Ajith Abraham1 and Ravi. Jain2 1 Department of Computer Science, Oklahoma State University, USA
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Document Date: 2005-02-04 10:21:43


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File Size: 338,56 KB

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United States / Australia / /

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Facility

University of South Australia / Oklahoma State University / /

IndustryTerm

soft computing paradigms / neuro-fuzzy systems / soft computing approach / intelligent systems / classification algorithm / frequent episode algorithm / soft computing / Data mining approaches / minimum processing / application software / intrusion detection systems / linear algorithms / Data mining / on-line algorithm / mining / Data mining algorithms / fuzzy inference systems / artificial neural networks / neural network learning algorithms / learning algorithm / /

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University of South Australia / School of Information Science / Department of Computer Science / Oklahoma State University / /

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Ai / /

Position

security officer / /

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Pentax K-x Digital Camera / Sonim XP1 Cellular Phone / /

ProvinceOrState

South Australia / /

Region

South Australia / /

Technology

dynamic algorithm / functional programming / learning algorithm / sliding-window / on-line algorithm / neural network learning algorithms / neural network / artificial intelligence / RIPPER algorithm / Data mining algorithms / Fuzzy logic / data encryption / Data mining / operating system / classification algorithm / Frequent episode algorithm / RIPPER classification algorithm / based classification algorithm / meta-classifier / frequent episode algorithm / /

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