Abstract
Vehicular networks are designed to provide a set of applications in order to maintain the traffic safety and efficiency. The effectiveness of these applications depends on the accuracy of the location information provided by vehicles. Accordingly, the presence of malicious vehicles that broadcast fake location information can threaten the traffic safety. In this paper, we propose a new fuzzy-based trust model that aims at detecting the wrong position information that mismatches with the vehicle’s behavior. Simulation results prove the performance of the proposed model to detect the erroneous location information with high precision.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Abboud, K., Omar, H.A., Zhuang, W.: Interworking of DSRC and cellular network technologies for V2X communications: a survey. IEEE Trans. Veh. Technol. 65(12), 9457–9470 (2016)
Bayram, I.S., Papapanagiotou, I.: A survey on communication technologies and requirements for internet of electric vehicles. EURASIP J. Wirel. Commun. Netw. 2014(1), 223 (2014)
Chen, Y., Yang, J., Trappe, W., Martin, R.P.: Detecting and localizing identity-based attacks in wireless and sensor networks. IEEE Trans. Veh. Technol. 59(5), 2418–2434 (2010)
Krajzewicz, D., Bonert, M., Wagner, P.: The open source traffic simulation package sumo. In: RoboCup 2006 (2006)
Lu, N., Cheng, N., Zhang, N., Shen, X., Mark, J.W.: Connected vehicles: solutions and challenges. IEEE Internet of Things J. 1(4), 289–299 (2014)
Qureshi, K.N., Abdullah, A.H.: Localization-based system challenges in vehicular ad hoc networks: survey. Smart CR 4(6), 515–528 (2014)
Raya, M., Papadimitratos, P., Gligor, V.D., Hubaux, J.-P.: On data-centric trust establishment in ephemeral ad hoc networks. In: The 27th Conference on Computer Communications, INFOCOM 2008, pp. 1238–1246. IEEE (2008)
Souissi, I., Azzouna, N.B., Berradia, T.: Towards a self-adaptive trust management model for vanets. In: Proceedings of the 14th International Joint Conference on e-Business and Telecommunications, SECRYPT, (ICETE 2017), vol. 6, pp. 513–518. INSTICC, SciTePress (2017)
Souissi, I., Azzouna, N.B., Berradia, T., Said, L.B.: Fuzzy logic based model for energy consumption trust estimation in electric vehicular networks. In: Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, SECRYPT, vol. 2, pp. 221–233. INSTICC, SciTePress (2018)
Sumra, I.A., Hasbullah, H.B., AbManan, J.B.: Attacks on security goals (confidentiality, integrity, availability) in VANET: a survey. In: Vehicular Ad-Hoc Networks for Smart Cities, pp. 51–61. Springer (2015)
Sun, S., Hu, J., Peng, Y., Pan, X., Zhao, L., Fang, J.: Support for vehicle-to-everything services based on LTE. IEEE Wirel. Commun. 23(3), 4–8 (2016)
Yao, Y., Xiao, B., Wu, G., Liu, X., Yu, Z., Zhang, K., Zhou, X.: Voiceprint: a novel sybil attack detection method based on RSSI for VANETs. In: 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 591–602. IEEE (2017)
Acknowledgments
This work was supported by the PHC Utique program of the French Ministry of Foreign Affairs and Ministry of higher education and research and the Tunisian Ministry of higher education and scientific research in the CMCU project number 16G1404.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Souissi, I., Azzouna, N.B., Berradia, T., Said, L.B. (2020). A New Fuzzy Logic Based Model for Location Trust Estimation in Electric Vehicular Networks. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-15032-7_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15031-0
Online ISBN: 978-3-030-15032-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)