ABSTRACT
This chapter describes the automated privacy preservation framework of the GAMBAS middleware. The framework extends the adaptive data acquisition and distributed data processing frameworks to support the automated sharing of contextual information in a privacy-preserving manner. In the GAMBAS middleware, privacy preservation encompasses mechanisms and protocols to limit the access to contextual information to trustworthy clients, which also allow the user to specify which data items can be used by the system. Furthermore, it includes tools to automatically derive sharing policies by inspecting privacy settings from a configurable and extensible set of web services. Specific care is taken to avoid the use of central points of trust in order to support the policy enforcement at runtime and to maximize the applicability of derived policies to different types of context information. In the following, the chapter first clarifies the focus and contribution of privacy preservation in the GAMBAS middleware. Thereafter, it describes the privacy protocols and mechanisms and discusses the policy generation tools. Finally, the chapter presents details on the integration into the other systems.
