Towards Scalable and Efficient Architecture for Modeling Trust in IoT Environments.

Area of Science:

• Computer Science
• Cloud Computing
• Internet of Things

Background:

• The Internet of Services (IoS) leverages cloud environments for service creation, sharing, and management.
• The expansion of IoS impacts daily life through applications like e-health, smart homes, and surveillance.
• Establishing trusted Internet of Things (IoT) environments is crucial for realizing IoS benefits and ensuring system reliability.

Purpose of the Study:

• To propose a scalable and efficient Fog computing architecture for IoS.
• To demonstrate the integration of trust modeling within the proposed architecture.
• To evaluate the performance and feasibility of the new architecture.

Main Methods:

• Development of a scalable, Chord-based horizontal architecture for Fog computing.
• Mapping trust models onto the proposed Fog computing architecture.
• Conducting extensive performance evaluation experiments.

Main Results:

• The proposed architecture demonstrates scalability and efficiency for IoS.
• The architecture effectively supports the integration of trust models.
• Experimental results verify the architecture's performance and feasibility.

Conclusions:

• The developed Chord-based Fog architecture is suitable for hosting trust models in IoS.
• The architecture contributes to building reliable, efficient, and trustworthy IoS-driven smart systems.
• This work provides a foundation for enhanced trust and performance in IoS environments.