An adaptive intrusion detection system by using decision tree
Other Title(s)
نظام كشف التسلل التكيفي باستخدام شجرة القرارات
Joint Authors
Rahim, Usamah Adil
al-Umari, Isra Salih Hassun
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 10, Issue 2 (31 Dec. 2018), pp.88-96, 9 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
In recent decades, data security has turned into a new vision in data innovation as the quantity of PC protection breaks are presented to an explosion in the number of security incidents.
An assortment of Sequence Discovery System have been utilized for shielding PCs and systems from pernicious system based or have based assaults by utilizing conventional measurable strategies to new information mining approaches in a years ago.
In any case, the present monetarily accessible interruption identification frameworks are mark based that are not equipped for identifying obscure assaults.
In this paper, we introduce another learning calculation for abnormality based system interruption identification framework utilizing choice tree calculation that recognizes assaults from ordinary practices and distinguishes diverse kinds of interruptions.
Test comes about on the KDD-99 bench-mark organize interruption discovery data-set exhibit that the suggested algorithm resulted 98.5% Discovery rate in comparing with other executing techniques.
American Psychological Association (APA)
Rahim, Usamah Adil& al-Umari, Isra Salih Hassun. 2018. An adaptive intrusion detection system by using decision tree. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 10, no. 2, pp.88-96.
https://search.emarefa.net/detail/BIM-839714
Modern Language Association (MLA)
Rahim, Usamah Adil& al-Umari, Isra Salih Hassun. An adaptive intrusion detection system by using decision tree. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 10, no. 2 (2018), pp.88-96.
https://search.emarefa.net/detail/BIM-839714
American Medical Association (AMA)
Rahim, Usamah Adil& al-Umari, Isra Salih Hassun. An adaptive intrusion detection system by using decision tree. al-Qadisiyah Journal for Computer Science and Mathematics. 2018. Vol. 10, no. 2, pp.88-96.
https://search.emarefa.net/detail/BIM-839714
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 94-95
Record ID
BIM-839714