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Cybernetics / Self-organizing map / Anomaly detection / Supervised learning / Intrusion detection system / Feature / Learning Vector Quantization / Hybrid Kohonen SOM / Neural networks / Statistics / Machine learning


Multiple Self-Organizing Maps for Intrusion Detection Brandon Craig Rhodes, James A. Mahaffey, James D. Cannady fbrandon.rhodes,jim.mahaffey,[removed] Computer Science and Information Technology Div
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Document Date: 2000-11-03 00:00:00

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File Size: 59,15 KB

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Company

Technology Division Information Technology / /

/

Facility

Telecommunications Laboratory Georgia Institute of Technology Atlanta / /

IndustryTerm

detection systems / lower protocol / web content / neural network / traffic on old protocols / self-organizing neural networks / real computing installation intrusion attempts / web traffic / conventional feed-forward neural network / neural networks / Internet Protocol / file server / Internet-connected facility / otherwise innocent web browser request / expert systems / hybrid neural network / extant intrusion detection systems / /

OperatingSystem

Unix / Linux / /

Organization

Information Technology Division Information Technology and Telecommunications Laboratory Georgia Institute of Technology Atlanta / /

Person

James D. Cannady / James A. Mahaffey / Brandon Craig Rhodes / /

Position

teacher / conventional feed-forward / designer / General / fact representative / /

ProgrammingLanguage

Python / /

ProvinceOrState

Georgia / /

Technology

expert system / TCP protocol / Neural Network / DNS / Unix / Linux / Information Technology / IP / HTTP / operating system / UDP / /

URL

http /

SocialTag