Semantic Access Control for Privacy Management of Personal Sensing in Smart Cities
This work tackles the problem of enabling flexible data access control for individuals sharing personal sensing data in Smart Cities, which is an incremental improvement over existing binary control systems.
This paper addresses the binary nature of data access from personal and home sensors in Smart Cities, where users either have full control or lose it entirely when data is opened. The authors propose a semantic technologies-based authorization and privacy control framework to enable flexible and manageable data access control policies.
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.