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