Project

Implementation of genetic algorithms into a network intrusion detection system (netGA), and integration into nProbe

Project (M.S., Computer Science)-- California State University, Sacramento, 2010.

netGA takes networking theory and artificial intelligence theory and combines them
 together to form an attack detection system. netGA is an implementation of the method
 proposed by the paper titled A Software Implementation of a Genetic Algorithm Based
 Approach to Network Intrusion Detection written by Ren Hui Gong and associates. It also
 includes an implementation of the resulting rules into a Network Intrusion Detection
 System (NIDS) called nProbe. The project brings together Genetic Algorithms from soft
 computing methods, also known as Artificial Intelligence, and a Network Intrusion
 Detection System (NIDS). In order to limit the project scope, data developed by DARPA,
 also used in Gong's paper, is used as training data for the Genetic Algorithms. The
 resulting tool is described and analyzed, and results and sample runs are presented.

netGA takes networking theory and artificial intelligence theory and combines them together to form an attack detection system. netGA is an implementation of the method proposed by the paper titled A Software Implementation of a Genetic Algorithm Based Approach to Network Intrusion Detection written by Ren Hui Gong and associates. It also includes an implementation of the resulting rules into a Network Intrusion Detection System (NIDS) called nProbe. The project brings together Genetic Algorithms from soft computing methods, also known as Artificial Intelligence, and a Network Intrusion Detection System (NIDS). In order to limit the project scope, data developed by DARPA, also used in Gong's paper, is used as training data for the Genetic Algorithms. The resulting tool is described and analyzed, and results and sample runs are presented.

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