Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/30715
Title: | Considerations on visible light communication security by applying the risk matrix methodology for risk assessment | Authors: | Marín-García, Ignacio Chavez Burbano, Patricia Rabadán Borges, José Alberto Guerra Yánez, Víctor Pérez-Jiménez, Rafael |
UNESCO Clasification: | 33 Ciencias tecnológicas | Keywords: | Communication Computer security Light Local area networks |
Issue Date: | 2017 | Journal: | PLoS ONE | Abstract: | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Visible Light Communications (VLC) is a cutting edge technology for data communication that is being considered to be implemented in a wide range of applications such as Inter-vehicle communication or Local Area Network (LAN) communication. As a novel technology, some aspects of the implementation of VLC have not been deeply considered or tested. Among these aspects, security and its implementation may become an obstacle for VLCs broad usage. In this article, we have used the well-known Risk Matrix methodology to determine the relative risk that several common attacks have in a VLC network. Four examples: a War Driving, a Queensland alike Denial of Service, a Preshared Key Cracking, and an Evil Twin attack, illustrate the utilization of the methodology over a VLC implementation. The used attacks also covered the different areas delimited by the attack taxonomy used in this work. By defining and determining which attacks present a greater risk, the results of this work provide a lead into which areas should be invested to increase the safety of VLC networks. | URI: | http://hdl.handle.net/10553/30715 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0188759 | Source: | PLoS One [ISSN 1932-6203], v. 12 (11) | URL: | http://api.elsevier.com/content/abstract/scopus_id/85035800621 |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
5
checked on Dec 8, 2024
WEB OF SCIENCETM
Citations
3
checked on Dec 8, 2024
Page view(s)
155
checked on Nov 16, 2024
Download(s)
123
checked on Nov 16, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.