Abstract
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by unwanted agents. Many current intrusion detection systems (IDS) are unable to identify unknown or mutated attack modes or are unable to operate in a dynamic environment as is necessary with mobile networks. As a result, it is necessary to find new ways to implement and operate intrusion detection systems. Genetic-based systems offer to ability to adapt to changing environments, robustness to noise and the ability to identify unknown attack methods. This paper presents a fuzzy-genetic approach to intrusion detection that is shown to increase the performance of an IDS.
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