Smartphones have become the perfect companion devices. They have myriad sensors for gathering the context of their owners in order to adapt the behaviour of different applications to the device's situation. This information can also be of great help in enabling the development of social applications that, otherwise, would require a costly and intractable deployment of sensors. Mobile Crowd Sensing systems highly reduce this cost, but realizing this vision using traditional centralized networking primitives requires a constant stream of the sensed data to the cloud in order to store and process it, which in turn leads to the individuals about whom the data is sensed losing control over the privacy of the data. In this paper, we propose an architecture for a device-to-device Mobile Crowd Sensing system and we deepen on a new privacy model that allows users to define access control policies based on their context and the consumer's context.

A Privacy-Aware Architecture to Share Device-to-Device Contextual Information / Herrera, Juan Luis; Berrocal, Javier; Murillo, Juan M.; Chen, Hsiao-Yuan; Julien, Christine. - ELETTRONICO. - (2020), pp. 188-195. (Intervento presentato al convegno IEEE International Conference on Smart Computing (SMARTCOMP 2020) tenutosi a Bologna, Italia nel 14/09/2020-17/09/2020) [10.1109/smartcomp50058.2020.00044].

A Privacy-Aware Architecture to Share Device-to-Device Contextual Information

Herrera, Juan Luis;
2020

Abstract

Smartphones have become the perfect companion devices. They have myriad sensors for gathering the context of their owners in order to adapt the behaviour of different applications to the device's situation. This information can also be of great help in enabling the development of social applications that, otherwise, would require a costly and intractable deployment of sensors. Mobile Crowd Sensing systems highly reduce this cost, but realizing this vision using traditional centralized networking primitives requires a constant stream of the sensed data to the cloud in order to store and process it, which in turn leads to the individuals about whom the data is sensed losing control over the privacy of the data. In this paper, we propose an architecture for a device-to-device Mobile Crowd Sensing system and we deepen on a new privacy model that allows users to define access control policies based on their context and the consumer's context.
2020
2020 IEEE International Conference on Smart Computing (SMARTCOMP)
188
195
A Privacy-Aware Architecture to Share Device-to-Device Contextual Information / Herrera, Juan Luis; Berrocal, Javier; Murillo, Juan M.; Chen, Hsiao-Yuan; Julien, Christine. - ELETTRONICO. - (2020), pp. 188-195. (Intervento presentato al convegno IEEE International Conference on Smart Computing (SMARTCOMP 2020) tenutosi a Bologna, Italia nel 14/09/2020-17/09/2020) [10.1109/smartcomp50058.2020.00044].
Herrera, Juan Luis; Berrocal, Javier; Murillo, Juan M.; Chen, Hsiao-Yuan; Julien, Christine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/959597
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