关键词: 可信度量, 智慧城市, 物联网, 多源异构, 数据采集

Abstract: The diversity, heterogeneity, and wide distribution characteristics of IoT devices expose their operational processes to risks such as data source forgery or tampering in sensing devices. However, current trust evaluation models in multidomain IoT scenarios for smart cities exhibit limited dynamic adaptability and lack comprehensive capabilities in addressing security threats. To address these issues, this study proposes a framework from the macrooperational perspective of IoT, integrating trusted computing technologies. We construct static attribute metrics and dynamic attribute metrics mechanisms for IoT device nodes, categorize trust levels by employing clustering algorithms, and establish a comprehensive trusted metrics mechanism tailored for multisource heterogeneous IoT devices. Subsequently, through simulation experiments based on a multidomain distributed IoT architecture, we validate that the proposed trusted metrics scheme effectively detects initial malicious propagation by malicious nodes, confines malicious propagation within a limited scope, and robustly addresses security challenges under varying proportions of malicious nodes.

Key words: trusted metrics, smart city, Internet of things, multisource heterogeneous, data collection