VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things
Journal article, 2018

Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensed data for research 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 implemented 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, highlighting its advantages over existing solutions, and four relevant real-world applications running on top of VIVO. (C) 2018 Elsevier B.V. All rights reserved.

Mobile crowd-sensing

Internet of Things

Big data

Author

Luca Luceri

University of Bern

University of Applied Sciences and Arts Southern Switzerland (SUPSI)

Felipe Cardoso

University of Applied Sciences and Arts Southern Switzerland (SUPSI)

Michela Papandrea

University of Applied Sciences and Arts Southern Switzerland (SUPSI)

Silvia Giordano

University of Applied Sciences and Arts Southern Switzerland (SUPSI)

Julia Buwaya

University of Geneva

Stephane Kundig

University of Geneva

Constantinos Marios Angelopoulos

Bournemouth University

University of Geneva

Jose Rolim

University of Geneva

Zhongliang Zhao

University of Bern

Jose Luis Carrera

University of Bern

Torsten Braun

University of Bern

Aristide Tossou

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Other publications Research

Christos Dimitrakakis

Chalmers, Computer Science and Engineering (Chalmers), Data Science

Other publications Research

Aikaterini Mitrokotsa

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Other publications Research

Pervasive and Mobile Computing

1574-1192 (ISSN)

Vol. 49 126-138

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Science

Computer Systems

DOI

10.1016/j.pmcj.2018.07.003

Publication data connected to DOI

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Latest update

9/19/2018

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