Quantifying Trust Perception to Enable Design for Connectivity in Cyber-Physical-Social Systems

Abstract

Cyber-physical systems possess highly integrated functions of data collection, data processing, communication, and control. Given their seamless integration with human society, they are also termed as cyber-physical-social systems (CPSS). The advanced capabilities and functions of CPSS rely on their highly networked working environment and deep interdependency. The effectiveness of their performance critically depends on what and how they share among each other. Designing a trustworthy CPSS network, which can work together collaboratively thus is important. To perform systems design, quantitative measures of trustworthiness are required. In this chapter, quantitative metrics of trustworthiness, including capability, benevolence, and integrity, are proposed based on a generic probabilistic graph model of CPSS networks. The proposed metrics can be calculated from either subjective perception or objective statistics of sensing, computing, and communication functions in CPSS networks. A design optimization framework based on the trustworthiness metrics is also demonstrated.