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access icon free Location information verification using transferable belief model for geographic routing in vehicular ad hoc networks

© The Institution of Engineering and Technology
Received 15/11/2015, Accepted 09/09/2016, Revised 07/09/2016, Published 09/09/2016

Location verification has witnessed significant attention in vehicular communication due to the growth in number of location based intelligent transport system (ITS) applications. The traditional cryptography based techniques have been suggested to secure and verify location of vehicles. The traditional techniques increase protocol complexity and computational overhead due to the ad hoc nature of vehicular network environments. In this context, this study proposes two layered location information verification cum security (LIVES) technique based on transferable belief model (TBM). In layer 1, tiles based verification is performed using the concepts of virtual tiles on roads and received signal strength. In layer 2, TBM based verification is performed. Specifically, the belief of the presence of a vehicle on each tiles, and the belief of the presence of a vehicle as neighbour of other neighbouring vehicles are combined as collective belief to attest the location claim of a neighbour vehicle. The performance of LIVES is evaluated with road-based and map-based network environments. The single, mixed and multiple adversary vehicles are considered in both the network environments. The comparative performance evaluations attest the benefits of LIVES as compared with the verification and inference of position using anonymous beaconing and without using LIVES.

Inspec keywords: traffic information systems; intelligent transportation systems; RSSI; belief networks; vehicular ad hoc networks; cryptography; protocols

Other keywords: tile based verification; location based intelligent transport system applications; TBM based verification; location based ITS applications; protocol complexity; received signal strength; neighbour vehicle; map-based network environments; road-based network environments; transferable belief model; two layered location information verification cum security; geographic routing; virtual tiles; vehicular ad hoc networks; computational overhead; vehicular communication; cryptography based techniques; LIVES technique; vehicular network environments; location information verification

Subjects: Traffic engineering computing; Protocols; Protocols; Cryptography; Data security; Knowledge engineering techniques; Mobile radio systems; Combinatorial mathematics

References

    1. 1)
      • 9. Fiore, M., Casetti, C.E., Chiasserini, C., et al: ‘Discovery and verification of neighbor positions in mobile Ad Hoc networks’, IEEE Trans. Mob. Comput.g, 2013, 12, (2), pp. 289–303.
    2. 2)
      • 24. Kaiwartya, O., Kumar, S.: ‘Guaranteed geocast routing protocol for vehicular adhoc networks in highway traffic environment’, Wirel. Pers. Commun., 2015, 83, (4), pp. 257–2682.
    3. 3)
      • 18. Leinmuller, T., Schoch, E., Kargl, F.: ‘Position verification approaches for vehicular ad hoc networks’, IEEE J. Wirel. Commun., 2006, 13, (5), pp. 16–21.
    4. 4)
      • 6. Cao, Y., Sun, Z., Wang, N., et al: ‘Geographic-based spray-and-relay (GSaR): an efficient routing scheme for DTNs’, IEEE Trans. Veh. Technol., 2015, 64, (4), pp. 1548–1564.
    5. 5)
      • 19. Fiore, M., Casetti, C., Chiasserini, C.F., et al: ‘Discovery and verification of neighbor positions in mobile ad hoc networks’, IEEE Trans. Mob. Comput., 2013, 12, (2), pp. 289–303.
    6. 6)
      • 11. Pathak, V., Yao, D., I, L.: ‘Securing location aware services over VANET using geographical secure path routing’. Proc. IEEE Int. Conf. Vehicular Electronics and Safety (ICVES), Columbus, OH, US, September 2008, pp. 346–353.
    7. 7)
      • 8. Fonseca, A., Vazao, T.: ‘Applicability of position-based routing for VANET in highways and urban environment’, J. Netw. Comput. Appl., 2013, 36, (1), pp. 961–973.
    8. 8)
      • 15. Malandrino, F., Borgiattino, C., Casetti, C., et al: ‘Verification and inference of positions in vehicular networks through anonymous beaconing’, IEEE Trans. Mobil. Comput., 2014, 13, (10), pp. 2415–2428.
    9. 9)
      • 20. Zeng, Y., Cao, J., Hong, J., et al: ‘Secure localization and location verification in wireless sensor networks: a survey’, J. Supercomput., 2013, 64, (3), pp. 685–701.
    10. 10)
      • 12. Fogue, M., Martinez, F., Garrido, P., et al: ‘Securing warning message dissemination in VANETs using cooperative neighbor position verification’, IEEE Trans. Veh. Technol., 2014, 64, (6), pp. 2538–2550.
    11. 11)
      • 13. Mejri, M.N., Ben-Othman, J., Hamdi, M.: ‘Survey on VANET security challenges and possible cryptographic solutions’, Veh. Commun., 2014, 1, (2), pp. 53–66.
    12. 12)
      • 3. Kaiwartya, O., Kumar, S.: ‘Cache agent-based geocasting in VANETs’, Int. J. Inf. Commun. Technol., 2015, 7, (6), pp. 562–584.
    13. 13)
      • 2. Papadimitratos, P., De La Fortelle, A., Evenssen, K., et al: ‘Vehicular communication systems: enabling technologies, applications, and future outlook on intelligent transportation’, IEEE Commun. Mag., 2009, 47, (11), pp. 84–95.
    14. 14)
      • 17. Abumansoor, O., Boukerche, A.: ‘A secure cooperative approach for nonline-of-sight location verification in VANET’, IEEE Trans. Veh. Technol., 2012, 61, (1), pp. 275–285.
    15. 15)
      • 1. Ahmed, S.H., Bouk, S.H., Yaqub, M.A., et al: ‘CODIE: controlled data and interest evaluation in vehicular named data networks’, IEEE Trans. Veh. Technol., 2016, 65, (6), pp. 3954–3963.
    16. 16)
      • 23. Smets, P., Kennes, R.: ‘The transferable belief model’, Artif. intell., 1994, 66, (2), pp. 191–234.
    17. 17)
      • 10. Cai, Y., Wang, H., Chen, X., et al: ‘Trajectory-based anomalous behaviour detection for intelligent traffic surveillance’, IET Intell. Transp. Syst., 2015, 9, (8), pp. 810–816.
    18. 18)
      • 21. Engoulu, R.G., Bellaïche, M., Pierre, S., et al: ‘VANET security surveys’, Comput. Commun., 2014, 44, (1), pp. 1–13.
    19. 19)
      • 25. Kaiwartya, O., Kumar, S., Lobiyal, D.K., et al: ‘Performance improvement in geographic routing for vehicular Ad Hoc networks’, Sensors, 2014, 14, (12), pp. 22342–22371.
    20. 20)
      • 5. Ansari, K., Feng, Y., Singh, J.: ‘Study of a geo-multicast framework for efficient message dissemination at unmanned level crossings’, IET Intell. Transp. Syst., 2013, 8, (4), pp. 425–434.
    21. 21)
      • 4. Suthaputchakun, C., Sun, Z.: ‘Routing protocol in inter vehicle communication systems: a survey’, IEEE Commun. Mag., 2011, 49, (12), pp. 150–156.
    22. 22)
      • 7. Kaiwartya, O., Kumar, S., Lobiyal, D.K., et al: ‘Multi-objective dynamic vehicle routing problem and time seed based solution using particle swarm optimization’, J. Sens., 2015, 15, (1), pp. 1–14.
    23. 23)
      • 14. Sheet, D.K., Kaiwartya, O., Abdullah, A.H., et al: ‘Location information verification cum security using TBM in geocast routing’. Proc. of ICECCS, Procedia Computer Science, 2015, vol. 70, pp. 219–225.
    24. 24)
      • 22. Pathan, A.S.K. (Ed.): ‘Security of self-organizing networks: MANET, WSN, WMN, VANET’ (CRC press, 2010).
    25. 25)
      • 16. Zhang, P., Zhang, Z., Boukerche, A.: ‘Cooperative location verification for vehicular ad-hoc networks’. Proc. IEEE Int. Conf. Communications (ICC), Ottawa, ON, Canada, June 2012, pp. 37–41.
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