Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23947
Title: Insecure Network, Unknown Connection: Understanding Wi-Fi Privacy Assumptions of Mobile Device Users
Authors: BONNE, Bram 
ROVELO RUIZ, Gustavo 
QUAX, Peter 
LAMOTTE, Wim 
Issue Date: 2017
Source: Information, 8(3), p. 1-20
Abstract: Smartphones and other mobile devices have proliferated in the past five years. The expectation of mobile device users to always be online has led to Wi-Fi networks being offered by a variety of providers. Using these networks introduces multiple security risks. In this work, we assess to what extent the privacy stance of mobile device users corresponds with their actual behavior by conducting a study with 108 participants. Our methodology consists of monitoring Wi-Fi networks that the participants’ devices connect to and the connections made by apps on these devices, for a period of 30 days. Afterwards, participants are surveyed about their awareness and privacy sensitiveness. We show that while a higher expertise in computer networks corresponds to more awareness about the connections made by apps, neither this expertise nor the actual privacy stance of the participant translates to better security habits. Moreover, participants in general were unaware about a significant part of connections made by apps on their devices, a matter that is worsened by the fact that one third of Wi-Fi networks that participants connect to do not have any security enabled. Based on our results, we provide recommendations to network providers, developers and users on how to improve Wi-Fi security for mobile devices.
Keywords: privacy; security; wireless networks; usability; 802.11; user study; security practices; security awareness; mobile
Document URI: http://hdl.handle.net/1942/23947
Link to publication/dataset: www.mdpi.com/2078-2489/8/3/76
e-ISSN: 2078-2489
DOI: 10.3390/info8030076
Rights: (c) 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: vabb 2019
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
bonne17wifiprivacystudy.pdfPublished version402.19 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

4
checked on Sep 2, 2020

Page view(s)

70
checked on Sep 7, 2022

Download(s)

98
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.