| Title | Towards Provenance-based Trust-aware Model for Socio-Technically Connected Self-Adaptive System |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Lee, Hyo-Cheol, Lee, Seok-Won |
| Conference Name | 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) |
| Keywords | Analytical models, composability, Computational modeling, Conferences, goal model, Human Behavior, human factors, Metrics, Navigation, Provenance, provenance model, pubcrawl, requirements engineering, resilience, Resiliency, Robot Trust, self-adaptive system, Software, trust model, unmanned vehicles |
| Abstract | In a socio-technically connected environment, self-adaptive systems need to cooperate with others to collect information to provide context-dependent functionalities to users. A key component of ensuring safe and secure cooperation is finding trustworthy information and its providers. Trust is an emerging quality attribute that represents the level of belief in the cooperative environments and serves as a promising solution in this regard. In this research, we will focus on analyzing trust characteristics and defining trust-aware models through the trust-aware goal model and the provenance model. The trust-aware goal model is designed to represent the trust-related requirements and their relationships. The provenance model is analyzed as trust evidence to be used for the trust evaluation. The proposed approach contributes to build a comprehensive understanding of trust and design a trust-aware self-adaptive system. In order to show the feasibility of the proposed approach, we will conduct a case study with the crowd navigation system for an unmanned vehicle system. |
| DOI | 10.1109/COMPSAC51774.2021.00108 |
| Citation Key | lee_towards_2021 |
Towards Provenance-based Trust-aware Model for Socio-Technically Connected Self-Adaptive System