An autonomic agent trust model for IoT systems

X. Xu*, N. Bessis, J. Cao

*Corresponding author for this work

Research output: Contribution to journalConference proceeding article (ISSN)peer-review

38 Citations (Scopus)


The IoT systems encounter more serious issues of security, reliability and availability. In this paper, we propose an autonomic agent trust model to decrease security concerns, increase reliability and credibility and ensure information collecting, sharing and processing in dynamic IoT environments. In order to build the credibility protection model for IoT systems, agents and agent platforms have to be built on all nodes. Agent-based node in IoT systems is independent, self-governing software and hardware integrated system. Introducing the agent technology to build systems could manage resources and regulate actions of node in order to maximize the benefit of the whole IoT system. Firstly, we analyze on the credibility of IoT systems and explain why IoT systems are difficult to achieve safe and reliable computing and service quality assurance mechanisms. Secondly, we provide the architecture of trustable agent and agency. After that, we propose a novel architecture named TAEC (Trustworthy Agent Execution Chip), which is to use the high-security, cost-effective software and hardware platform for the safe operation of Agent. The proposed approach is to install TAEC on each sensor node, which provides autonomic trusted hardware execution environment for agents.


  • Autonomic agent
  • Internet of Things
  • Trust model


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