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Internet-of-Things and Information Fusion: Trust Perspective Survey.
Farag Azzedin1, Mustafa Ghaleb2
1Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. fazzedin@kfupm.edu.sa.
Sensors (Basel, Switzerland)
|April 27, 2019
Summary
Behavior trust modeling is essential for reliable Internet-of-Things (IoT) smart applications. Addressing data source trustworthiness, honesty, and accuracy is crucial for effective information fusion and enhancing IoT services.
Area of Science:
- Computer Science
- Information Technology
- Cybersecurity
Background:
- Internet-of-Things (IoT) enables smart applications through interconnected sensors.
- Information fusion enhances data quality but is vulnerable to untrustworthy sources.
- Malicious activities and data source behavior issues compromise IoT reliability.
Purpose of the Study:
- To highlight the critical need for behavior trust modeling in IoT.
- To emphasize the impact of trust on information fusion and smart applications.
- To survey existing IoT trust architectures and models.
Main Methods:
- Literature review of IoT trust models and architectures.
- Analysis of behavior-related issues affecting data trustworthiness.
- Discussion of current trust modeling approaches in IoT.
Main Results:
- Behavior trust modeling is indispensable for reliable IoT information fusion.
- Current IoT trust models are nascent and require further development.
- Existing architectures and classifications of IoT trust models are presented.
Conclusions:
- Behavior trust modeling is crucial for the success of IoT smart applications.
- Further research is needed to advance trustworthy information fusion techniques.
- Developing robust trust models will enhance the reliability and security of IoT ecosystems.
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