In the near future, the Internet of Things is expected to penetrate all aspects of the physical world, including homes and urban spaces. In order to handle the massive amount of data that becomes collectible and to offer services on top of this data, the most convincing solution is the federation of the Internet of Things and cloud computing. Yet, the wide adoption of this promising vision, especially for application areas such as pervasive health care, assisted living, and smart cities, is hindered by severe privacy concerns of the individual users. Hence, user acceptance is a critical factor to turn this vision into reality. To address this critical factor and thus realize the cloud-based Internet of Things for a variety of different application areas, we present our comprehensive approach to privacy in this envisioned setting. We allow an individual user to enforce all her privacy requirements before any sensitive data is uploaded to the cloud, enable developers of cloud services to integrate privacy functionality already into the development process of cloud services, and offer users a transparent and adaptable interface for configuring their privacy requirements. Click here to view linked References pervasive health care and assisted living to smart cities [2, 3] . However, these 45 tings. These contributions of our comprehensive approach to privacy in the cloud-based IoT allow us to lay the foundation for bringing the IoT and cloud computing together in a user-accepted fashion. This paper is structured as follows: In Section 2 we describe and discuss the application areas and network setting of our envisioned scenario. Based on this, 50
Henze et al. REF present an approach that allows users to set their privacy requirements before sending sensitive data to cloud, with an adaptable interface in a transparent way.
A comprehensive approach to privacy in the cloud-based Internet of Things
Future Gener. Comput. Syst.
Future Gener. Comput. Syst.
Computer Science