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|3 10.33948/0584-024-001-001
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|a eng
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044 |
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|b السعودية
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100 |
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|9 523863
|a Altwaijry, Hesham
|e Author
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245 |
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|a Bayesian Based Intrusion Detection System
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260 |
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|b جامعة الملك سعود
|c 2012
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300 |
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|a 1 - 6
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336 |
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|a بحوث ومقالات
|b Article
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520 |
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|b 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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653 |
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|a علوم الحاسوب
|a نظم المعلومات
|a نظام بايزي
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692 |
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|b Intrusion Detection System (IDS)
|b Bayesian Filter
|b KDD ’99
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700 |
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|9 523864
|a Algarny, Saeed
|e Co-Author
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773 |
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|c 001
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 001
|m مج24, ع1
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 024
|x 1319-1578
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856 |
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|u 0584-024-001-001.pdf
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930 |
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|d y
|p y
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995 |
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|a science
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999 |
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|c 971997
|d 971997
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