Research on key technologies of data security and privacy protection in Internet of Things group intelligence

With the increasing scale and complexity of IoT swarm intelligence applications, data security and privacy protection have become important factors restricting the development of IoT swarm intelligence. This paper explores the key technologies of data security and privacy protection in IoT swarm intelligence to improve the security and trustworthiness of IoT swarm intelligence applications. Using the method of literature research and empirical analysis, the data security and privacy protection in the swarm intelligence of the Internet of Things are deeply analyzed and studied. The data security risks in the Internet of Things are identified and classified, and the corresponding security requirements are proposed. According to different security requirements, a series of data security and privacy protection technologies are proposed. Finally, through empirical research, the effectiveness and feasibility of the proposed key technologies are verified. The research results show that these technologies and methods can provide guarantees for the security and trustworthiness of IoT swarm intelligence applications, contributing to the healthy development of the IoT industry. However, further research and improvements are still needed to address new security and privacy challenges that continue to emerge.