Trust Evaluation in IoT Systems: Extracting User Trust Levels based on Security Profiles in Water Treatment Facilities

Abstract

The integration of Internet of Things (IoT) systems into water treatment facilities has transformed resource management, presenting new security and trust management challenges. This paper presents an innovative approach to assess user trust levels within IoT systems, particularly in water treatment contexts. Our method addresses the critical need for a comprehensive evaluation of user trustworthiness, encompassing factors such as user behavior, human resource data, and post-task surveys. By considering these elements, our approach contributes to enhance trust evaluation in IoT systems, thereby bolstering the security and reliability of water treatment facilities.