Ingeniería en Sistemas, Electrónica e Industrial

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Author: search.filters.author.Lascano Banshuy Jairo GuillermoSubject: search.filters.subject.IDS

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    Sistema de detección de intrusos (IDS) basado en machine learning para el control de la red en la Unidad Educativa “19 de Septiembre” en la Ciudad de Salcedo
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2025-02) Lascano Banshuy Jairo Guillermo; Sánchez Zumba Andrea Patricia
    The increasing sophistication of cyber threats highlights the need for robust solutions to protect institutional networks. This project focuses on the implementation of a Machine Learning-based Intrusion Detection System (IDS) for the "19 de Septiembre" Educational Unit. Initial network assessments revealed critical security vulnerabilities, including frequent connectivity issues, limited access, and user dissatisfaction, primarily caused by the lack of attention to cybersecurity within the institution. To address these challenges, a hybrid dataset was developed by combining real-time data collected through the IDS with publicly available datasets. This approach ensured the dataset's relevance and robustness, enhancing the model's accuracy in classifying benign traffic and detecting potential attacks. After evaluating various machine learning algorithms, Random Forest was selected due to its high adaptability, strong performance, and compatibility with the project's resource constraints. The trained model achieved exceptional results in terms of accuracy, recall, and overall reliability, providing a solid foundation for the IDS. This approach allows educational institutions and other organizational environments to proactively adapt to emerging cyber threats, which are constantly evolving in complexity and scope. By strengthening the network infrastructure, a secure and reliable environment is fostered, protecting both data and the institution's critical operations. Furthermore, this improvement contributes to ensuring user trust in the overall use of the infrastructure