Abstract
This research explores trust management in IoT water treatment plants, emphasizing the collaboration between advanced technologies and qualified personnel. We measure trust based on actor-specific criteria by integrating tailored policy languages. Our approach stands out for humanizing trust, making it accessible and understandable. The methodology includes an in-depth literature analysis, identification of trust criteria, and innovative integration of policy languages, with positive validation in simulated environments. The results demonstrate significant improvements, highlighting a positive impact on security and collaboration. In conclusion, our innovative approach promises to reshape trust management, providing a comprehensive and user-friendly perspective in technologically complex environments.
Cite
CITATION STYLE
Aiche, A., Tardif, P. M., & Erritali, M. (2023). Trust Management In IoT Drinking Water Treatment Plants. In 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2023. Association for Computing Machinery, Inc. https://doi.org/10.1145/3632366.3632379
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.