IOT NETWORK INTRUSION DETECTION USING MACHINE LEARNING ON UNSW-NB15 DATASET

UNSW-NB15 ДЕРЕКТЕР ЖИЫНТЫҒЫНДА МАШИНАЛЫҚ ОҚЫТУДЫ ҚОЛДАНА ОТЫРЫП ИНТЕРНЕТ ЗАТТАР ЖЕЛІСІНЕ ЕНУДІ АНЫҚТАУ
ОБНАРУЖЕНИЕ ВТОРЖЕНИЙ В СЕТЬ ИНТЕРНЕТА ВЕЩЕЙ С ПОМОЩЬЮ МАШИННОГО ОБУЧЕНИЯ НА ОСНОВЕ НАБОРА ДАННЫХ UNSW-NB15
Omarov Bauyrzhan S. Auelbekov O.А. Kulambayev B.O. Omarov B.S.
2024 Kazakh-British Technical University

Herald of the Kazakh British Technical UNiversity
2024 #21 Issue 3 48 - 57 pp.

This research presents a comprehensive investigation into the application of machine learning techniques for addressing the pervasive security challenges within Internet of Things (IoT) networks. With the exponential growth of interconnected devices, ensuring the integrity and confidentiality of data transmissions has become increasingly critical. In this study, we deploy and evaluate seven distinct machine learning methods tailored to the IoT network intrusion detection problem. Leveraging the rich and diverse UNSW-NB15 dataset, encompassing real-world network traffic scenarios, our analysis encompasses a thorough examination of both traditional and state-of-the-art algorithms. Through rigorous experimentation and performance evaluation, we assess the efficacy of these methods in accurately detecting and classifying various forms of network intrusions. Our findings provide valuable insights into the strengths and limitations of different machine learning approaches for enhancing the security posture of IoT environments, thereby facilitating informed decision-making for network administrators and cybersecurity practitioners.

artificial intelligence , intrusion detection , IoT attack , IoT network , machine learning

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Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Institute Information and Computational Technologies, Almaty, 050000, Kazakhstan
Turan University, Almaty, 050013, Kazakhstan

Al-Farabi Kazakh National University
Institute Information and Computational Technologies
Turan University

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026