Truong Nguyen Binh, Lee Hyunwoo, Askwith Bob, Lee Gyu Myoung
Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Media Research Division, Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea.
Sensors (Basel). 2017 Jun 9;17(6):1346. doi: 10.3390/s17061346.
In the blooming era of the Internet of Things (IoT), trust has been accepted as a vital factor for provisioning secure, reliable, seamless communications and services. However, a large number of challenges still remain unsolved due to the ambiguity of the concept of trust as well as the variety of divergent trust models in different contexts. In this research, we augment the trust concept, the trust definition and provide a general conceptual model in the context of the Social IoT (SIoT) environment by breaking down all attributes influencing trust. Then, we propose a trust evaluation model called REK, comprised of the triad of trust indicators (TIs) Reputation, Experience and Knowledge. The REK model covers multi-dimensional aspects of trust by incorporating heterogeneous information from direct observation (as Knowledge TI), personal experiences (as Experience TI) to global opinions (as Reputation TI). The associated evaluation models for the three TIs are also proposed and provisioned. We then come up with an aggregation mechanism for deriving trust values as the final outcome of the REK evaluation model. We believe this article offers better understandings on trust as well as provides several prospective approaches for the trust evaluation in the SIoT environment.
在物联网（IoT）蓬勃发展的时代，信任已被视为提供安全、可靠、无缝通信和服务的关键因素。然而，由于信任概念的模糊性以及不同背景下各种不同的信任模型，大量挑战仍未得到解决。在本研究中，我们通过剖析影响信任的所有属性，对信任概念、信任定义进行了扩充，并在社会物联网（SIoT）环境中提供了一个通用概念模型。然后，我们提出了一种名为REK的信任评估模型，它由信任指标（TI）声誉、经验和知识三元组组成。REK模型通过纳入从直接观察（作为知识TI）、个人经验（作为经验TI）到全局观点（作为声誉TI）的异构信息，涵盖了信任的多维度方面。还提出并提供了三个TI的相关评估模型。然后，我们提出了一种聚合机制，用于得出信任值，作为REK评估模型的最终结果。我们相信本文能让人更好地理解信任，并为SIoT环境中的信任评估提供几种前瞻性方法。
