Title:
|
A collaborative protocol for anonymous reporting in vehicular ad hoc networks
|
Author:
|
Tripp Barba, Carolina; Urquiza Aguiar, Luis; Aguilar Igartua, Mónica; Parra Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge; Pallarès Segarra, Esteve
|
Other authors:
|
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. SERTEL - Serveis Telemàtics |
Abstract:
|
Vehicular ad hoc networks (VANETs) have emerged to leverage the power of modern communication technologies, applied to both vehicles and infrastructure. Allowing drivers to report traffic accidents and violations through the VANET may lead to substantial improvements in road safety. However, being able to do so anonymously in order to avoid personal and professional repercussions will undoubtedly translate into user acceptance. The main goal of this work is to propose a new collaborative protocol for enforcing anonymity in multi-hop VANETs, closely inspired by the well-known Crowds protocol. In a nutshell, our anonymous-reporting protocol depends on a forwarding probability that determines whether the next forwarding step in message routing is random, for better anonymity, or in accordance with the routing protocol on which our approach builds, for better quality of service (QoS). Different from Crowds, our protocol is specifically conceived for multi-hop lossy wireless networks. Simulations for residential and downtown areas support and quantify the usefulness of our collaborative strategy for better anonymity, when users are willing to pay an eminently reasonable price in QoS. |
Abstract:
|
Peer Reviewed |
Subject(s):
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors -Computer networks -Vehicular ad hoc networks (Computer networks) -Anonymous reporting -Anonymous-communication systems -Crowds protocol -Multi-hop routing -Vehicular ad hoc networks -Ordinadors, Xarxes d' -Comunicacions mòbils, Sistemes de |
Rights:
|
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type:
|
Article - Published version Article |
Published by:
|
Elsevier
|
Share:
|
|