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Friday May 23, 2025 9:00am - 11:00am EDT

Authors - Kai-Po Chan, Guan-Lin Wu, Yen-Jen Chen
Abstract - With the rapid development of IoT technology, smart agriculture has become a key driver in modern agricultural transformation. Agriculture 4.0 emphasizes integrating technology with traditional farming to monitor and manage agricultural production processes, thereby improving efficiency. Sensors, as the front-end components of IoT, can monitor environmental changes in real time, such as temperature, humidity, and light intensity, which are crucial for agricultural production. However, as IoT technology becomes more widespread, data protection mechanisms have become essential, particularly in network transmission, where data security and privacy protection are critical concerns. This study aims to address security issues in the data transmission process. IoT devices can rapidly transmit large amounts of data, and without effective encryption and protection measures, this data is vulnerable to external attacks or hacking during transmission, leading to data leakage or tampering. Such incidents can impact agricultural production and result in the loss of business secrets and financial interests. Therefore, enhancing the security and reliability of data transmission is the core problem this study aims to solve. This research proposes a hybrid encryption mechanism based on RSA asymmetric encryption and random noise generation using the STM32 DAC. This approach enhances data transmission security and resistance to attacks. Using the MQTT protocol, the study achieves real-time data transmission and display, storing data in a database to help agricultural producers monitor environmental changes, promptly identify issues, and make necessary adjustments, thereby improving production efficiency and management convenience.
Paper Presenter
Friday May 23, 2025 9:00am - 11:00am EDT
Virtual Room B New York, USA

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