Trust Quantification for Networked Cyber-Physical Systems
Trust Quantification for Networked Cyber-Physical Systems
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DOI：
10.1109/jiot.2018.2822677
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发表时间：
2018-04
影响因子：
10.6
通讯作者：
Yan Wang
中科院分区：
文献类型：
--
作者：
Yan Wang
信息物理系统（CPS）是高度集成的硬件-软件设备，机电组件与先进的计算算法紧密耦合，用于数据收集，处理，通信和控制。物联网是CPS的新兴应用。设计CPS设备和系统的主要研究挑战是量化复杂的系统行为，如意识，适应和进化。特别是在网络社会中，信任成为影响系统行为的重要因素。为了捕捉CPS的可信度量化的独特的人类社会和系统方面，在本文中，可信度是衡量的能力，仁慈和诚信的看法定量。能力是衡量一个人的感觉和推理能力以及对他人的影响力。仁慈体现了意图的一致性和信息交换中的互惠程度。完整性提供了对系统可靠性和可预测性的信心。一个通用的概率图模型的开发，代表CPS功能在中尺度和展示的能力和仁慈的感知为基础的量化。基于信任的CPS网络设计和优化也展示了能力和仁慈的度量。
Cyber-physical systems (CPS) are highly integrated hardware–software devices that electro-mechanical components are tightly coupled with advanced computational algorithms for data collection, processing, communication, and control. Internet of Things is the emerging application of CPS. The main research challenge in designing CPS devices and systems is the quantification of complex system behaviors, such as consciousness, adaptation, and evolution. Particularly trust becomes an important element that affects system behavior in the networked society. To capture the unique human societal and systems aspects of trustworthiness quantification for CPS, in this paper, trustworthiness is measured by the perceptions of ability, benevolence, and integrity quantitatively. Ability measures one’s sensing and reasoning capability and influence to others. Benevolence captures the genuineness of intention and the extent of reciprocity in information exchange. Integrity provides the confidence about system dependability and predictability. A generic probabilistic graph model is developed to represent CPS functionality at mesoscale and demonstrate the perception-based quantification of ability and benevolence. Trust-based CPS network design and optimization are also demonstrated with the metrics of ability and benevolence.