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A comprehensive Reputation mechanism for ubiquitous healthcare environment exploiting cloud model
Summary
Trust is crucial for ubiquitous healthcare (UH). This study proposes a cloud-based reputation mechanism, incorporating personal interaction experience and reputation, to ensure trustworthy mental healthcare supervision in UH environments.
Area of Science:
- Digital Health
- Healthcare Informatics
- Trust Management
Background:
- Ubiquitous Healthcare (UH) offers personalized mental healthcare but faces trust challenges.
- Absence of trust can negate the benefits of UH, impacting patient supervision.
- Existing trust models may not adequately address the dynamic nature of UH environments.
Purpose of the Study:
- To propose a cloud-based reputation mechanism for enhancing trust in Ubiquitous Healthcare.
- To introduce a mechanism for updating Personal Interaction Experience (PIE) as a foundational trust element.
- To address challenges of dynamic provider behavior, data sparseness, and malicious attacks in UH.
Main Methods:
- Development of a cloud-based Reputation (R) mechanism.
- Implementation of a Personal Interaction Experience (PIE) updating mechanism.
- Simulation of the proposed mechanisms using MATLAB for verification.
Main Results:
- The proposed cloud-based reputation mechanism demonstrates adaptability to dynamic UH provider behaviors.
- The system effectively detects milking behaviors and complex malicious attacks.
- The mechanisms address accuracy limitations arising from data sparseness.
Conclusions:
- Trust foundations are essential and can outweigh the benefits of ubiquitous mental healthcare supervision.
- The proposed cloud-based reputation and PIE updating mechanisms enhance trust and security in UH.
- The verified mechanisms offer a viable solution for trustworthy mental healthcare delivery in Ubiquitous Healthcare settings.
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