A secure IoT service architecture with an efficient balance dynamics based on cloud and edge computing

Tian Wang, Guangxue Zhang, Anfeng Liu, Md Zakirul Alam Bhuiyan, Qun Jin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

199 Citations (Scopus)


The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only enhances the IoT's capability but also expands the scope of its applications. However, it exhibits significant security and efficiency problems that must be solved. Internal attacks account for a large fraction of the associated security problems, however, traditional security strategies are not capable of addressing these attacks effectively. Moreover, as repeated/similar service requirements become greater in number, the efficiency of IoT-Cloud services is seriously affected. In this paper, a novel architecture that integrates a trust evaluation mechanism and service template with a balance dynamics based on cloud and edge computing is proposed to overcome these problems. In this architecture, the edge network and the edge platform are designed in such a way as to reduce resource consumption and ensure the extensibility of trust evaluation mechanism, respectively. To improve the efficiency of IoT-Cloud services, the service parameter template is established in the cloud and the service parsing template is established in the edge platform. Moreover, the edge network can assist the edge platform in establishing service parsing templates based on the trust evaluation mechanism and meet special service requirements. The experimental results illustrate that this edge-based architecture can improve both the security and efficiency of IoT-Cloud systems.

Original languageEnglish
Article number8464241
Pages (from-to)4831-4843
Number of pages13
JournalIEEE Internet of Things Journal
Issue number3
Publication statusPublished - 2019 Jun


  • Edge computing
  • Efficiency
  • Internal attacks
  • Internet of Things (IoT)
  • Security
  • Trust evaluation mechanism

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


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