VIVO: a Secure, Privacy-Preserving and Real-Time Crowd-Sensing Framework for the Internet of Things

Luceri, Luca; Cardoso, Felipe; Papandrea, Michela; Giordano, Silvia; Buwaya, Julia; Kundig, Stephane; Angelopoulos, Constantinos Marios; Rolim, Jose; Zhao, Zhongliang; Carrera, Jose Luis; Braun, Torsten; Tossou, Aristide Charles Yedia; Dimitrakakis, Christos; Mitrokotsa, Aikaterini (2018). VIVO: a Secure, Privacy-Preserving and Real-Time Crowd-Sensing Framework for the Internet of Things. Pervasive and Mobile Computing, 49, pp. 126-138. Elsevier 10.1016/j.pmcj.2018.07.003

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Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensing data for re- search is not simple. Issues related to device heterogeneity, security, and privacy have prevented the rise of crowd-sensing platforms for scientific data collection. For this reason, we decided to realize VIVO, an open framework for gathering crowd-sensed Big Data for IoT services, where security and privacy are managed within the framework. VIVO introduces the enrolled crowd-sensing model, which allows the deployment of multiple simultaneous experiments on the mobile phones of volunteers. The collected data can be accessed both at the end of the experiment, as in traditional testbeds, as well as in real-time, as required by many Big Data applications. We present here the VIVO architecture, showing its advantages over existing solutions, and four relevant real-world applications running on top of VIVO.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Zhao, Zhongliang and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1574-1192

Publisher:

Elsevier

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

20 Feb 2018 15:30

Last Modified:

21 Aug 2018 12:20

Publisher DOI:

10.1016/j.pmcj.2018.07.003

BORIS DOI:

10.7892/boris.109230

URI:

https://boris.unibe.ch/id/eprint/109230

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