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