Um Mecanismo de Proteção Ciente de Vias Aéreas Contra Jamming Attacks para a Internet dos Drones

  • Alisson R. Svaigen University of Ottawa / UFMG
  • Azzedine Boukerche University of Ottawa
  • Linnyer B. Ruiz UEM
  • Antonio A. F. Loureiro UFMG

Abstract


The Internet of Drones (IoD) is a network paradigm where drones will fly over well-defined airways. The Jamming Attack (JA) poses a severe risk to IoD, affecting the drone's trajectory. Although JA has been investigated in UAV-based networks, the current solutions consider the airspace free to fly, whereas IoD allows drones to fly over constrained airspace. To overcome this challenge, this work presents the design of an airway-aware protection mechanism against JA on the IoD. Our experiments pointed out that our solution is a proper protection mechanism to avoid drones suffering a JA since they fly over airways in a responsive time, decreasing the number of jammed drones. Hence, this study advances the protection mechanisms for IoD.

References

Boccadoro, P., Striccoli, D., & Grieco, L. A. (2021). An extensive survey on the internet of drones. Ad Hoc Networks, 122, 102600.

Duo, B., Wu, Q., Yuan, X., & Zhang, R. (2020). Anti-jamming 3d trajectory design for uav-enabled wireless sensor networks under probabilistic los channel. IEEE TVT, 69(12), 16288–16293.

Gao, Y., Wu, Y., Cui, Z., Yang, W., & Li, N. (2021). Anti-jamming trajectory and power design for cognitive uav communications. In Iwcmc (pp. 1370–1375).

Gharibi, M., Boutaba, R., & Waslander, S. L. (2016). Internet of drones. IEEE Access, 4, 1148–1162.

Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., & Tuncer, A. (2017). Uav-enabled intelligent transportation systems for the smart city: Applications and challenges. IEEE Communications Magazine, 55(3), 22–28.

Mowla, N. I., Tran, N. H., Doh, I., & Chae, K. (2020). Afrl: Adaptive federated reinforcement learning for intelligent jamming defense in fanet. Journal of Comm. and Net., 22(3), 244–258.

Sedjelmaci, H., Senouci, S. M., & Ansari, N. (2017). A hierarchical detection and response system to enhance security against lethal cyber-attacks in uav networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1594–1606.

Svaigen, A. R., Boukerche, A., Ruiz, L. B., & Loureiro, A. (2022). A topological dummybased location privacy protection mechanism for the internet of drones. In Ieee icc.

Seoul, Korea (South). Svaigen, A. R., Boukerche, A., Ruiz, L. B., & Loureiro, A. A. (2021). Mixdrones: A mix zones-based location privacy protection mechanism for the internet of drones. In Acm mswim’21 (pp. 181–188).

Vadlamani, S., Eksioglu, B., Medal, H., & Nandi, A. (2016). Jamming attacks on wireless networks: A taxonomic survey. Inter. Jrnl. of Production Economics, 172, 76–94.

Wang, H., Chen, J., Ding, G., & Sun, J. (2018). Trajectory planning in uav communication with jamming. In Wcsp (pp. 1–6).

Wu, Y., Yang, W., Guan, X., & Wu, Q. (2021). Uav-enabled relay communication under malicious jamming: Joint trajectory and transmit power optimization. IEEE TVT.

Xiao, L., Lu, X., Xu, D., Tang, Y., Wang, L., & Zhuang, W. (2018). Uav relay in vanets against smart jamming with reinforcement learning. IEEE TVT, 67(5), 4087–4097.
Published
2022-05-23
SVAIGEN, Alisson R.; BOUKERCHE, Azzedine; RUIZ, Linnyer B.; LOUREIRO, Antonio A. F.. Um Mecanismo de Proteção Ciente de Vias Aéreas Contra Jamming Attacks para a Internet dos Drones. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 40. , 2022, Fortaleza. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 405-418. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2022.222339.

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