Citation

Lim, Mei Shyan and Ho, Sin Ban and Chai, Ian (2022) Classification of Malicious Network Traffic using Optimal Datasets for Machine Learning. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Research Background Problem Statement • The first defence mechanism in an organization is the network security level. • Firewalls, Intrusion Detection Systems (IDSs) or Network Intrusion Detection Systems (NIDs) and Intrusion Prevention Systems (IPSs) are examples of the network security defence mechanism. • Network security given the most emphasis in the adoption of Artificial Intelligence (AI) and Machine Learning (ML). • Detection of malware or malicious flow at network security level using machine learning approach is explored.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Machine Learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	19 Dec 2022 09:04
Last Modified:	19 Dec 2022 09:05
URII:	http://shdl.mmu.edu.my/id/eprint/10930

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