Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but...

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Main Authors: Haleem Farman, Bilal Jan, Muhammad Talha, Abi Zar, Huma Javed, Murad Khan, Aziz Ud Din, Kijun Han
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/7697324
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author Haleem Farman
Bilal Jan
Muhammad Talha
Abi Zar
Huma Javed
Murad Khan
Aziz Ud Din
Kijun Han
author_facet Haleem Farman
Bilal Jan
Muhammad Talha
Abi Zar
Huma Javed
Murad Khan
Aziz Ud Din
Kijun Han
author_sort Haleem Farman
collection DOAJ
description Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2018-01-01
publisher Wiley
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series Complexity
spelling doaj-art-aea86fdbc6af48fa86972bf2e89047452025-02-03T06:11:27ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/76973247697324Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc NetworksHaleem Farman0Bilal Jan1Muhammad Talha2Abi Zar3Huma Javed4Murad Khan5Aziz Ud Din6Kijun Han7Department of Computer Science, Islamia College Peshawar, Peshawar, PakistanDepartment of Computer Science, FATA University, FR Kohat, PakistanDeanship of Scientific Research, King Saud University, Riyadh, Saudi ArabiaFaculty of Computer Science and IT, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaDepartment of Computer Science, University of Peshawar, Peshawar, PakistanDepartment of Computer Science & IT, Sarhad University of Science and IT, Peshawar, PakistanShiekh Zayed Islamic Center, University of Peshawar, Peshawar, PakistanSchool of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of KoreaVehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.http://dx.doi.org/10.1155/2018/7697324
spellingShingle Haleem Farman
Bilal Jan
Muhammad Talha
Abi Zar
Huma Javed
Murad Khan
Aziz Ud Din
Kijun Han
Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
Complexity
title Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
title_full Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
title_fullStr Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
title_full_unstemmed Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
title_short Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks
title_sort multicriteria based location privacy preservation in vehicular ad hoc networks
url http://dx.doi.org/10.1155/2018/7697324
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AT bilaljan multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
AT muhammadtalha multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
AT abizar multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
AT humajaved multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
AT muradkhan multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
AT azizuddin multicriteriabasedlocationprivacypreservationinvehicularadhocnetworks
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