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Abstract
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According to growing ICT and human dependence on it, maintaining availability,
integrity and confidentiality of information is so critical. So in this context we must protect
data and networks from attacks and illegal influences. Therefore intrusion detection
systems have become one of the most important issues and investigations to improve its
ability, speed and flexibility in the face of Zero day's cyber-attacks. In this paper, after
introducing the computer network attacks and going over the genetic algorithm, a model
will be presented based on the genetic algorithm and by using inheritance features to detect
the Zero day intrusions or converted types of the existing attacks(infiltration ways), and
implemented it on WEKA software. Finally examine the relevant index of proposed model.
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