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 of Italian Switzerland (SUPSI)
Felipe Cardoso
University of Applied Sciences and Arts of Italian Switzerland (SUPSI)
Michela Papandrea
University of Applied Sciences and Arts of Italian Switzerland (SUPSI)
Silvia Giordano
University of Applied Sciences and Arts of Italian 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)
Christos Dimitrakakis
Chalmers, Computer Science and Engineering (Chalmers), Data Science
Aikaterini Mitrokotsa
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Pervasive and Mobile Computing
1574-1192 (ISSN)
Vol. 49 126-138Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2011)
Computer Science
Computer Systems
DOI
10.1016/j.pmcj.2018.07.003