The Privacy Protection of IoT Data Fusion and Sensing Detection Under Artificial Intelligence Technology

One of the most important modern technologies is IoT networks. IoT network is a distributed sensor network composed of multiple sensors with transmission, computing and communication capabilities. It collects the surrounding environment information through the sensors on the node, and collects data in the integrated node to achieve complete and efficient processing and analysis. With the development of intranet technology and sensors, data integration on intranet plays an important role. At the same time, privacy protection and data integration in IoT networks is a contradiction that needs to be reconciled. Data integration is one of the core businesses of the Intranet. The relationship between sensor data privacy and system integration is studied, and a framework for data integration error identification is proposed. However, it is not necessary to know the actual content of sensor data to ensure the privacy of sensor data. The experimental results show that this method achieves effective data integration while protecting the privacy of actual raw data and sensor data integration.