genetic algorith best source code
2016-08-23
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Network intrusion Detection based on rules formulation is an resourceful approach to classify various type of
attack. DoS or Probing attack are comparatively more ordinary and can be
detected more precisely if contributing parameters are formulated in terms of
rules. Genetic Algorithm is used to formulate such rule. It is found that
accuracy of rule based learning increases with the number of iteration. We
propose usefulness and accuracy of an approach to generate rules for different
types of abnormal connection. The KDDCUP99 training and testing dataset is used
to produce effective new rules by adopting reasonable detection velocity
java
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