Building accountability into the Internet of Things: the IoT Databox model

Area of Science:

• Computer Science
• Law and Technology

Background:

• Consumer trust is crucial for the widespread adoption of Internet of Things (IoT) technologies.
• Existing IoT frameworks often lack transparency, hindering individual accountability and trust.
• The European Union's General Data Protection Regulation (GDPR) mandates data subject accountability.

Purpose of the Study:

• To introduce the IoT Databox model for achieving individual accountability in the Internet of Things.
• To address the external data subject accountability requirement stipulated by GDPR.
• To provide mechanisms for individuals to build trust in IoT ecosystems.

Main Methods:

• Conceptualizing the IoT Databox model.
• Analyzing GDPR's external data subject accountability requirements.
• Focusing on surfacing invisible device actions and social interactions within IoT.

Main Results:

• The IoT Databox model offers a framework for enabling accountability in IoT.
• The model facilitates the visibility of connected device operations and their embedded social contexts.
• It provides individuals with tools to foster trust in IoT systems.

Conclusions:

• The IoT Databox model is a viable approach to enhance IoT accountability and consumer trust.
• Addressing GDPR's external accountability is key to user confidence in connected environments.
• Making IoT interactions transparent is fundamental for user empowerment and trust-building.