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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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Бібліографічні деталі
Автори: Martina Shushlevska, Danijela Efnusheva, Goran Jakimovski, Zdravko Todorov
Формат: Artigo
Мова:Inglês
Опубліковано: Anhalt University of Applied Sciences 2022-03-01
Серія:Proceedings of the International Conference on Applied Innovations in IT
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Онлайн доступ:https://icaiit.org/paper.php?paper=10th_ICAIIT_1/1_4
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