Toward a lightweight ontology for privacy protection in IoT

The literature asserts that the design of an ontology-based privacy model is an essential starting point to address privacy risks in IoT, where connected devices are increasingly capable of monitoring human activities. Due to the omnipresence of data privacy concerns in IoT, we highlight the need for privacy ontologies that combine an expressive vocabulary with extension points but that do not overload the processing of privacy policies data....