A Trusted Remote Data Trading Scheme in Hybrid SDN for Intelligent Internet of Things

• Published in: Wireless communications and mobile computing 2023, Vol.2023, p.1-16
• Main Authors: Zhang, Yu, Gong, Bei, Wu, Yong, Zheng, Guiping, Diao, Zipeng
• Format: Article
• Language: English
• Subjects: Cybersecurity; Domains; Electronic devices; Energy consumption; Hybrid systems; Internet of Things; Network topologies; Nodes; Trust; Trustworthiness
• ISSN: 1530-8669; 1530-8677
• DOI: 10.1155/2023/7463722

Intelligent internet of things (IIoTs) have these features: heterogeneous network patterns, significant differences in devices, dynamic variability of network topologies, etc. In the complex security situation, it is necessary to reject data from untrusted devices to guarantee the security data trading of IIoTs. In this paper, we focus on the trustworthiness and authentication in a hybrid SDN scenario of IIoTs. For the process of the trusted judgment, we firstly implement the standardized model for the nodes with the device attributes, network states, and operation behaviors. Based on the standardized model, we propose feature evaluation functions in SDN and IP domains, respectively, to calculate the intradomain node trust values to achieve the trusted judgment. To consider the demand for secure data trading for cross-domain devices, we propose a remote data trading scheme in which the data transmitter signs the node identity and its trust value by a group signature and the data receiver verifies the signature. The group signature is not only to protect the privacy of the group members but also to support the dynamic accession and revocation of group members, so it is more suitable for IIoTs where the nodes frequently access/exit. The security is proved under the standard model. We conduct the simulation experiments to evaluate the correctness of the trusted judgment mechanism. The evaluation shows that the scheme has lower computational cost and the higher efficiency of the group signature scheme.