Bayesian based intrusion detection system
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نویسنده
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Altwaijry Hesham ,Algarny Saeed
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منبع
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journal of king saud university - computer and information sciences - 2012 - دوره : 24 - شماره : 1 - صفحه:1 -6
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چکیده
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In this paper an intrusion detection system is developed using bayesian probability. the system developed is a naive bayesian classifier that is used to identify possible intrusions. the system is trained a priori using a subset of the kdd dataset. the trained classifier is then tested using a larger subset of kdd dataset. the bayesian classifier was able to detect intrusion with a superior detection rate.
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کلیدواژه
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Intrusion detection system (IDS); Bayesian filter; KDD ’99
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آدرس
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King Saud University, Computer Engineering Department, Saudi Arabia, King Saud University, Computer Engineering Department, Saudi Arabia
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پست الکترونیکی
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sagarny@ stc.com.sa
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