The concept of social networking is integrated into the Cyber-Physical Systems (CPSs) for the purpose of allowing smart objects to establish social relationships in an autonomous way. Solutions based on social relationships are considered to be promising approaches for resource/service discovery. The primary issues in a social-CPS (SCPS) involve how to define, quantify and eventually establish social relationships between objects, and how to build a reliable system. In this paper, we first put forward a definition of the trustworthiness management in a SCPS. And we subsequently build a reputation-based trust mechanism that quantifies the direct trustworthiness between objects, using a fuzzy logic model to address the perceptions of uncertainty and risk contained in this concept of trust. Then we propose a light-weight paradigm for service discovery which makes use of indirect trustworthiness for service provider ranking, based on the theories of the directed acyclic graph. Several rules are introduced for the weighted recommendation paths, and an expurgation mechanism is proposed to simplify the process of indirect trustworthiness evaluation. The convincing experimental results show that our mechanism performs better than the other two methods with four aspects of satisfaction rate, quality of recommended information, accuracy of trust assessment and convergence time.

中文翻译：

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基于信誉的社会信息物理系统信任评估模型

社交网络的概念被集成到网络物理系统 (CPS) 中，目的是允许智能对象以自主方式建立社交关系。基于社会关系的解决方案被认为是资源/服务发现的有前途的方法。社会 CPS (SCPS) 中的主要问题涉及如何定义、量化并最终建立对象之间的社会关系，以及如何构建可靠的系统。在本文中，我们首先提出了 SCPS 中可信管理的定义。我们随后建立了一个基于声誉的信任机制，量化对象之间的直接可信度，​​使用模糊逻辑模型来解决信任概念中包含的不确定性和风险的感知。然后，我们提出了一种基于有向无环图理论的轻量级服务发现范式，该范式利用间接可信度进行服务提供商排名。针对加权推荐路径引入了几条规则，并提出了一种清除机制来简化间接可信度评估的过程。令人信服的实验结果表明，我们的机制在满意度、推荐信息质量、信任评估准确性和收敛时间四个方面都优于其他两种方法。并提出了一种清除机制来简化间接可信度评估的过程。令人信服的实验结果表明，我们的机制在满意度、推荐信息质量、信任评估准确性和收敛时间四个方面都优于其他两种方法。并提出了一种清除机制来简化间接可信度评估的过程。令人信服的实验结果表明，我们的机制在满意度、推荐信息质量、信任评估准确性和收敛时间四个方面都优于其他两种方法。