Network intrusion detection system using supervised learning paradigm

• Published in: Scientific African Vol. 9; p. e00497
• Main Authors: Mebawondu, J. Olamantanmi, Alowolodu, Olufunso D., Mebawondu, Jacob O., Adetunmbi, Adebayo O.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2020; Elsevier
• Subjects: Accuracy; Artificial neural network; Gain ratio; Multi-layer perceptron; UNSW-NB15 dataset; Accuracy; Artificial neural network; Multi-layer perceptron; Gain ratio; UNSW-NB15 dataset

Internet has positively changed social, political and economic structures and in many ways obviating geographical boundaries. The enormous contributions of Internet to business transactions coupled with its ease of use has resulted in increased number of internet users and consequently, intruders. I...