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13 lines
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1.5 KiB
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\section{Conclusion}
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\label{sec:conclusion}
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This paper introduced a novel trust management framework for \ac{cpss}, leveraging \ac{sl} to evaluate trust in uncertain indirect observations.
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Our methodology extends beyond traditional binary trust assessments, enabling the presence of uncertainties that reflects the nuanced reality of \ac{cpss} operations.
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Through case studies focusing on power consumption data, we demonstrated the framework’s adaptability and efficacy in providing detailed trust assessments.
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This research underscores the importance of trust management in ensuring the safety and reliability of \ac{cpss} in the \ac{scs}, especially in dynamic conditions represented by indirect observations.
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Our work makes a valuable contribution to enhancing the security and effectiveness of \ac{cpss}, providing a basis for further exploration in this area.
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As \ac{cpss} become more integral to modern infrastructure, advanced trust management solutions are essential for their successful deployment and operation.
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To extend further the capabilities and versatility of this framework, the combination of various data sources and the usage of trust calibration actions are proposed.
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% Our framework shows promise in practical applications such as healthcare CPS and autonomous vehicles by allowing nuanced trust assessments amidst uncertainties in real-time. The adaptability and versatility of our approach underscore its importance for the development of reliable, user-centric \ac{cpss}. |