Abstract
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Internet of Things (IoT) aims to enable a world where physical objects, integrated into information networks, provide smart services for human beings. The introduction of edge computing in IoT can reduce the decision-making latency, save bandwidth resources, and extend the cloud services to be distributed at the edge of the network. However, edge-based IoT systems currently faces challenges in their decentralized trust management. Trust management plays an essential role for reliable data fusion and mining, provisioning of services with context-awareness, and enhanced user privacy and information security. In this talk, we analyze the edge-based IoT architectures that are available in the literature. Then, a comprehensive review of trust requirements in edge-enabled IoT systems is presented. We notably discuss about blockchain as a key enabler to address many trust related issues in IoT and consider closely the complementary interrelationships between blockchain and edge computing. Finally, we provide a detailed analysis of trusted edge computing based IoT systems' performance and recommend promising research directions for future investigations.
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