Trust Management In IoT Drinking Water Treatment Plants
Article No.: 27, Pages 1 - 2
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.
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Published In
December 2023
187 pages
ISBN:9798400704734
DOI:10.1145/3632366
- Co-chairs:
- Omer Rana,
- Massimo Villari,
- Program Co-chairs:
- Geoffrey Fox,
- Maria Fazio
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 April 2024
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- Research-article
Conference
BDCAT '23
Sponsor:
BDCAT '23: IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies
December 4 - 7, 2023
Taormina (Messina), Italy
Acceptance Rates
Overall Acceptance Rate 27 of 93 submissions, 29%
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