A novel membership cloud model-based trust evaluation model for vehicular ad hoc network of T-CPS

作者：Sun, Dihua; Zhao, Hongzhuan^*; Cheng, Senlin

来源：Security and Communication Networks, 2016, 9(18): 5710-5723.

DOI：10.1002/sec.1730

• membership cloud model
• trust evaluation model
• vehicular ad hoc network (VANET)
• uncertainty
• qualitative information
• quantitative data
• transportation cyber-physical system (T-CPS)

It is generally known that the trust relationships among mobile nodes of vehicular ad hoc network (VANET) are uncertain in transportation cyber-physical system (T-CPS). However, the existing researches could not accurately describe the uncertainty in their trust evaluation models. To solve this problem, we propose a novel membership cloud-based trust evaluation model for VANET of T-CPS. The proposed model considers the trust uncertainty of fuzziness and randomness in the interactions among vehicles and uses membership cloud to describe the uncertainty in unified formats. Besides, we give the detail description of trustworthiness as well as algorithm to calculate the cloud droplets and the aggregated trust evaluation values. An experiment of study case demonstrates that our trust model can perfectly describe trust relationship among vehicles from the quantitative data to the qualitative information, and also vice versa. Thus, our trust model can accurately describe the uncertainty of fuzziness and randomness of the trust relationships. Meanwhile, two typical scenarios simulation and comparison with other up to date models demonstrate the validity and practicality of our trust model among vehicles for VANET of T-CPS.

• 出版日期2016-12
• 单位桂林电子科技大学; 重庆大学