信息安全研究2026，Vol.12Issue(2)：109-117,9.DOI:10.12379/j.issn.2096-1057.2026.02.02
城市物联网采集数据可信度量机制研究
Research on Trusted Data Collection Metrics Mechanism for IoT in Smart Cities
陈磊 1张森 2张嘉浩2
作者信息
- 1. 国防科技大学计算机学院 长沙 410073||中国工程院战略咨询中心 北京 100088
- 2. 北京工业大学计算机学院 北京 100124
- 折叠
摘要
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.关键词
可信度量/智慧城市/物联网/多源异构/数据采集Key words
trusted metrics/smart city/Internet of things/multi-source heterogeneous/data collection分类
信息技术与安全科学引用本文复制引用
陈磊,张森,张嘉浩..城市物联网采集数据可信度量机制研究[J].信息安全研究,2026,12(2):109-117,9.
