Network intrusion detection systems using supervised machine learning classification and dimensionality reduction techniques : a systematic review
Other Title(s)
أنظمة كشف التطفل في الشبكات باستخدام تقنيات مراقبة للتصنيف في تعلم الآلة و تقليل الحجم : مراجعة نظامية
Joint Authors
al-Qudah, Mahmud
Ashshi, Zayn
Abu Rashid, Layla
Quṣif, Abd Allah
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 7, Issue 4 (31 Dec. 2021), pp.373-390, 18 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2021-12-31
Country of Publication
Jordan
No. of Pages
18
Main Subjects
Information Technology and Computer Science
Abstract EN
Protecting the confidentiality, integrity and availability of cyberspace and network (NW) assets has become an increasing concern.
The rapid increase in the Internet size and the presence of new computing systems (like Cloud) are creating great incentives for intruders.
Therefore, security engineers have to develop new technologies to match growing threats to NWs.
New and advanced technologies have emerged to create more efficient intrusion detection systems using machine learning (ML) and dimensionality reduction techniques, to help security engineers bolster more effective NW Intrusion Detection Systems (NIDSs).
This systematic review provides a comprehensive review of the most recent NIDS using the supervised ML classification and dimensionality reduction techniques, it shows how the used ML classifiers, dimensionality reduction techniques and evaluating metrics have improved NIDS construction.
The key point of this study is to provide up-to-date knowledge for new interested researchers.
American Psychological Association (APA)
Ashshi, Zayn& Abu Rashid, Layla& al-Qudah, Mahmud& Quṣif, Abd Allah. 2021. Network intrusion detection systems using supervised machine learning classification and dimensionality reduction techniques : a systematic review. Jordanian Journal of Computetrs and Information Technology،Vol. 7, no. 4, pp.373-390.
https://search.emarefa.net/detail/BIM-1415615
Modern Language Association (MLA)
Ashshi, Zayn…[et al.]. Network intrusion detection systems using supervised machine learning classification and dimensionality reduction techniques : a systematic review. Jordanian Journal of Computetrs and Information Technology Vol. 7, no. 4 (Dec. 2021), pp.373-390.
https://search.emarefa.net/detail/BIM-1415615
American Medical Association (AMA)
Ashshi, Zayn& Abu Rashid, Layla& al-Qudah, Mahmud& Quṣif, Abd Allah. Network intrusion detection systems using supervised machine learning classification and dimensionality reduction techniques : a systematic review. Jordanian Journal of Computetrs and Information Technology. 2021. Vol. 7, no. 4, pp.373-390.
https://search.emarefa.net/detail/BIM-1415615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 386-390
Record ID
BIM-1415615