@inproceedings{dc04e698b0314c4484dc849872b8b72d,
title = "Botnet Classification using Machine Learning",
abstract = "Botnet is one of the cyber security threats which may cause big damages. This research uses Machine Learning methods to classify and then detect botnet attacks. The CTU-13 dataset is used, and 90,962 records are trained in a 3-layer Deep Learning sequential model. The result has 99% accuracy and the value of recall, precision and F1 score is 99% as well.",
keywords = "binary classification, Botnet, computer security, deep learning, machine learning",
author = "Man Ni and Gabriela Mogos",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 21st International System-on-Chip Design Conference, ISOCC 2024 ; Conference date: 19-08-2024 Through 22-08-2024",
year = "2024",
doi = "10.1109/ISOCC62682.2024.10762399",
language = "English",
series = "Proceedings - International SoC Design Conference 2024, ISOCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "197--198",
booktitle = "Proceedings - International SoC Design Conference 2024, ISOCC 2024",
}