Anomaly Detection with Various Machine Learning Classification Techniques over UNSW-NB15 Dataset

The exponential growth of computers and devices connected to the Internet and the variety of commercial services offered creates the need to protect Internet users. As a result, intrusion detection systems (IDS) are becoming an essential part of each computer-communication system, detecting and resp...

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Bibliographic Details

Published in:	Proceedings of the International Conference on Applied Innovations in IT
Main Authors:	Martina Shushlevska, Danijela Efnusheva, Goran Jakimovski, Zdravko Todorov
Format:	Article
Language:	English
Published:	Anhalt University of Applied Sciences 2022-03-01
Subjects:	anomaly detection intrusion detection system machine learning network security unsw-nb15 dataset
Online Access:	https://icaiit.org/paper.php?paper=10th_ICAIIT_1/1_4