Ingeniería en Sistemas, Electrónica e Industrial
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Item 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 PatriciaThe 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 infrastructureItem Sistema electrónico de monitoreo y control de captación de energía solar y electromagnética para aplicaciones IoT(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2022-09) Teneda Ardila, Santiago Efraín; Córdova Córdova, Edgar PatricioThis work shows the design and implementation of a monitoring system for a hybrid energy harvesting device based on the Internet of Things (IoT), with the purpose of collecting data in real time in order to be visualized in a metrics representation platform using Cloud Computing; which is formed by a server or several servers that involve software and hardware whose purpose is to monitor and control energy harvesting systems. For the project we used open-source tools selected on the basis of a technical study, the results of which were verified with the implementation of a dashboard. The monitored voltage signals are processed by the ADS1115 of 16 bits that allows greater accuracy in reading the values that are sent to the central controller ESP32, which is responsible for reading the processed data and transmit them via the MQTT protocol to the Red Hat Enterprice Linux server located in the Microsoft Azure cloud, and then be observed in Grafana. In this sense, when working with wireless technology, cloud services and IoT devices in the collection and monitoring of data in real time, it is noted that the operation of the system is efficient, with voltage measurements with a maximum peak of 22.5V in the day and 0V at night by the panel and 200 mV by the antenna, so as long as there are good weather conditions, the period of time in which there is greater energy uptake is from 11:00 am to 16:00 pm. Finally, the reliability of the developed device is higher than 90%, being an alternative system that meets the measurement requirements in relation to other monitoring devices.Item Sistema electrónico de monitoreo y control de captación de energía solar y electromagnética para aplicaciones IoT(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2022-09) Bautista Quispe, Cristian Ernesto; Córdova Córdova, Edgar PatricioThis work shows the design and implementation of a monitoring system for a hybrid energy harvesting device based on the Internet of Things (IoT), with the purpose of collecting data in real time in order to be visualized in a metrics representation platform using Cloud Computing; which is formed by a server or several servers that involve software and hardware whose purpose is to monitor and control energy harvesting systems. For the project we used open-source tools selected on the basis of a technical study, the results of which were verified with the implementation of a dashboard. The monitored voltage signals are processed by the ADS1115 of 16 bits that allows greater accuracy in reading the values that are sent to the central controller ESP32, which is responsible for reading the processed data and transmit them via the MQTT protocol to the Red Hat Enterprice Linux server located in the Microsoft Azure cloud, and then be observed in Grafana. In this sense, when working with wireless technology, cloud services and IoT devices in the collection and monitoring of data in real time, it is noted that the operation of the system is efficient, with voltage measurements with a maximum peak of 22.5V in the day and 0V at night by the panel and 200 mV by the antenna, so as long as there are good weather conditions, the period of time in which there is greater energy uptake is from 11:00 am to 16:00 pm. Finally, the reliability of the developed device is higher than 90%, being an alternative system that meets the measurement requirements in relation to other monitoring devices.