Advancing IoT Automation with Blockchain and Ai Integration
Keywords:
IoT, Blockchain, Anomaly Detection, ESP32 microcontroller, Remote device controlAbstract
The rapid growth of the Internet of Things (IoT) has transformed how devices interact and exchange information. However, significant issues related to security, data integrity, and efficient processing still need to be resolved. This study investigates the integration of blockchain technology and artificial intelligence (AI) within an IoT framework to tackle these issues. The system we propose uses ESP32 microcontrollers installed in switch boxes, enabling efficient communication with a central server which will later be replaced by AWS blockchain. This server not only logs the on/off statuses of switches securely using blockchain but also leverages AI-powered voice recognition to allow remote control of devices via voice commands. By combining secure, immutable data handling with intelligent automation, the framework aims to offer a reliable, scalable, and effective solution that can be applied in both smart homes and industrial automation environments, providing users with extensive control from any location
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