Context-Based Personal Data Protection in Smart City

Smart city has been a popular research focus on sustainable urban development in recent years. With the development of information technology, network technology and communication technology, the concept of "smart city" has been introduced to solve the increasingly serious problem of “urban disease". Smart city is the advanced stage of the urban informatization development. In smart cities, while citizens enjoy many immediate and comprehensive modern services, their privacy is at the same time threatened: The various network systems in smart cities are vulnerable to attack; Centralized management of the vast personal data can easily lead to "Big Brother” effect. Therefore, the problem of privacy protection in smart city is becoming an urgent issue which attracts more concerns. As a new protection strategy, data classification has been applied in some security systems already. It can help data controller to easily locate sensitive data and deploy different protection levels accordingly. This paper proposes a context-based personal data protection architecture based on the technical architecture of smart city, which provides an integrated system covers from data collection to data fusion in services. The operational process and involved building blocks will also be illustrated in this paper.