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|Title:||Dynamic Context-Aware Scalable and Trust-based IoT Security, Privacy Framework|
|Authors:||BOTTERMAN Maarten; NEISSE RICARDO; BALDINI Gianmarco; NAI FOVINO Igor; STERI GARY; TRAGOS Elias|
|Type:||Articles in periodicals and books|
|Abstract:||The evolution of Internet toward Internet of Things (IoT) will have a major impact on the lives of citizen. The benefits can be enormous to the life of the citizen as new services and applications can be developed by the integration of the physical and digital worlds. Mobiles, weareable sensors, “smart” devices with improved capabilities to act autonomously can be used to support new applications for healthcare, transportation, energy savings, improve business efficiency, enhance security or, more in general, support the needs of the citizen. On the other side, the increasing amount of data originated by the IoT objects can pose serious threats to the privacy and security of the citizen, because, for example, the activities of a citizen can be tracked at any time and place. It is important these threats, but it is even more important to research and define solutions at this current phase, where IoT technologies are in the way to be defined and deployed. This book chapter identifies and describes an usage control toolkit to address these threats. The usage control toolkit can be used to define policies to control the access to data and resources in IoT, with the possibility of supporting dynamic changes of context. In other words, the policies can be defined for different contexts (e.g., work, personal life), for different roles and different types of IoT devices.|
|JRC Directorate:||Space, Security and Migration|
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