Semantic Access Control for Privacy Management of Personal Sensing in Smart Cities

TL;DR

This paper proposes a semantic technology-based framework that enables flexible and manageable privacy control over personal sensing data in smart cities, balancing data access and user control.

Contribution

It introduces a novel authorization and privacy control framework utilizing semantic technologies for personal sensing data in smart cities.

Findings

Framework enables flexible data access control policies

Implementation demonstrates practical feasibility

Enhances user control over personal data

Abstract

Personal and home sensors generate valuable information that could be used in Smart Cities. Unfortunately, typically, this data is locked out and used only by application/system developer. While vendors are to blame, one should consider also the "binary nature" of data access. Specifically, either owner has full control over her data (e.g. in a "closed system"), or she completely looses control, when the data is "opened". In this context, we propose, a semantic technologies-based, authorization and privacy control framework that enables user to maintain flexible, yet manageable data access control policies. The proposed approach is described in detail, including implementation and testing.