Secure Localization in the Presence of Colluders in WSNs

We address the challenge of correctly estimating the position of wireless sensor network (WSN) nodes in the presence of malicious adversaries. We consider adversarial situations during the execution of node localization under three classes of colluding adversaries. We describe a decentralized algori...

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Main Authors: Wei Shi, Michel Barbeau, Jean-Pierre Corriveau, Joaquin Garcia-Alfaro, Meng Yao
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/8/1892
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author Wei Shi
Michel Barbeau
Jean-Pierre Corriveau
Joaquin Garcia-Alfaro
Meng Yao
author_facet Wei Shi
Michel Barbeau
Jean-Pierre Corriveau
Joaquin Garcia-Alfaro
Meng Yao
author_sort Wei Shi
collection DOAJ
description We address the challenge of correctly estimating the position of wireless sensor network (WSN) nodes in the presence of malicious adversaries. We consider adversarial situations during the execution of node localization under three classes of colluding adversaries. We describe a decentralized algorithm that aims at determining the position of nodes in the presence of such colluders. Colluders are assumed to either forge or manipulate the information they exchange with the other nodes of the WSN. This algorithm allows location-unknown nodes to successfully detect adversaries within their communication range. Numeric simulation is reported to validate the approach. Results show the validity of the proposal, both in terms of localization and adversary detection.
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spelling doaj.art-191be4de88294274b165e9cd041e19222022-12-22T04:03:37ZengMDPI AGSensors1424-82202017-08-01178189210.3390/s17081892s17081892Secure Localization in the Presence of Colluders in WSNsWei Shi0Michel Barbeau1Jean-Pierre Corriveau2Joaquin Garcia-Alfaro3Meng Yao4School of Information Technology, Faculty of Engineering and Design, Carleton University, Ottawa, ON K1S 5B6, CanadaSchool of Computer Science, Carleton University, Ottawa, ON K1S 5B6, CanadaSchool of Computer Science, Carleton University, Ottawa, ON K1S 5B6, CanadaInstitut Mines-Telecom, Paris-Saclay University, Telecom SudParis, CNRS Samovar UMR 5157, 9 Rue Charles Fourier, 91000 Evry, FranceNokia Networks, 600 March Road, Ottawa, ON K2K 2T6, CanadaWe address the challenge of correctly estimating the position of wireless sensor network (WSN) nodes in the presence of malicious adversaries. We consider adversarial situations during the execution of node localization under three classes of colluding adversaries. We describe a decentralized algorithm that aims at determining the position of nodes in the presence of such colluders. Colluders are assumed to either forge or manipulate the information they exchange with the other nodes of the WSN. This algorithm allows location-unknown nodes to successfully detect adversaries within their communication range. Numeric simulation is reported to validate the approach. Results show the validity of the proposal, both in terms of localization and adversary detection.https://www.mdpi.com/1424-8220/17/8/1892colludersdetectionsecure localizationwireless sensor network
spellingShingle Wei Shi
Michel Barbeau
Jean-Pierre Corriveau
Joaquin Garcia-Alfaro
Meng Yao
Secure Localization in the Presence of Colluders in WSNs
Sensors
colluders
detection
secure localization
wireless sensor network
title Secure Localization in the Presence of Colluders in WSNs
title_full Secure Localization in the Presence of Colluders in WSNs
title_fullStr Secure Localization in the Presence of Colluders in WSNs
title_full_unstemmed Secure Localization in the Presence of Colluders in WSNs
title_short Secure Localization in the Presence of Colluders in WSNs
title_sort secure localization in the presence of colluders in wsns
topic colluders
detection
secure localization
wireless sensor network
url https://www.mdpi.com/1424-8220/17/8/1892
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