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

被引：9

作者：

Luceri, Luca ^{[1
,2
]}

Cardoso, Felipe ^{[1
]}

Papandrea, Michela ^{[1
]}

Giordano, Silvia ^{[1
]}

Buwaya, Julia ^{[3
]}

Kundig, Stephane ^{[3
]}

Angelopoulos, Constantinos Marios ^{[3
,5
]}

Rolim, Jose ^{[3
]}

Zhao, Zhongliang ^{[2
]}

Carrera, Jose Luis ^{[2
]}

Braun, Torsten ^{[2
]}

Tossou, Aristide C. Y. ^{[4
]}

Dimitrakakis, Christos ^{[4
]}

Mitrokotsa, Aikaterini ^{[4
]}

机构：

[1] SUPSI, Manno, Switzerland

[2] Univ Bern, Bern, Switzerland

[3] Univ Geneva, Geneva, Switzerland

[4] Chalmers Univ, Gothenburg, Sweden

[5] Bournemouth Univ, Poole, Dorset, England

来源：

PERVASIVE AND MOBILE COMPUTING | 2018年 / 49卷

基金：

瑞士国家科学基金会;

关键词：

Mobile crowd-sensing; Internet of Things; Big data;

D O I：

10.1016/j.pmcj.2018.07.003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：126 / 138

页数：13

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