Intrusion Detection Using Soft Computing Techniques

As the popularity and usage of Internet increases all over the world, security issues have also become very essential that have to be considered. In literature, different techniques from various disciplines have been utilized to develop efficient security methods but those techniques always have some shortcomings. In this chapter the author discuss soft computing techniques that have been applied in Intrusion Detection System (IDS). The scope of this chapter will encompass core techniques of soft computing including artificial neural networks, Fuzzy Logic Genetic algorithms and hybridization of these approaches. In this chapter the research contribution of each of above mentioned techniques will be systematically summarized and compared that will allows us to clearly define existing research challenges, and to highlight promising new research directions. The findings of this chapter should provide useful insights into the current IDS literature and be a good source for anyone who is interested in the application of soft computing approaches to IDSs.