PyFF: A Fog-Based Flexible Architecture for Enabling Privacy-by-Design IoT-Based Communal Smart Environments

Area of Science:

• Computer Science
• Human-Computer Interaction
• Cybersecurity

Background:

• The rapid expansion of Internet of Things (IoT) devices is outpacing human lifestyle adaptations, leading to user reluctance.
• Current IoT architectures often overlook the crucial element of human trust and privacy in user-centric deployments.
• Integrating human involvement is essential for the successful adoption of IoT in daily life.

Purpose of the Study:

• To propose a novel architecture enabling privacy-by-design in human-in-the-loop IoT environments.
• To address the gap in current IoT standards regarding user trust and privacy.
• To facilitate the seamless integration of IoT technologies into human-centric settings.

Main Methods:

• Analysis of two IoT use-cases with significant human interaction to understand human-device dynamics.
• Development of the Privacy-enabling Fog-based and Flexible (PyFF) architecture.
• Incorporation of distributed and intelligent systems within the PyFF framework.

Main Results:

• The PyFF architecture effectively integrates human-in-the-loop principles into IoT environments.
• It provides a framework for privacy-by-design, enhancing user trust.
• The architecture allows end-users control over their data lifecycle, including monitoring and computation.

Conclusions:

• The proposed PyFF architecture offers a human-centric and human-aware solution for privacy in IoT.
• It empowers users by involving them in data management decisions, fostering trust.
• PyFF promotes the adoption of IoT technologies by aligning them with human needs and privacy expectations.