An adaptive intrusion detection system by using decision tree

Other Title(s)

نظام كشف التسلل التكيفي باستخدام شجرة القرارات

Time cited in Arcif : 
6

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

Mathematics

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