Enhancement of Physical Layer Security in Flying Ad-hoc Networks by Intelligent Reflecting Metasurfaces

Authors

Keywords:

Metasurfaces, secrecy, communication

Abstract

Unmanned Aerial Vehicles (UAVs) serve a lot of key roles in human lives. It has been shown that UAVs can be clustered in different ways to form swarm networks. One such type of swarm network is a Flying Ad-Hoc Network (FANET). In a FANET, the ground station communicates with one focal UAV to control the entire network, which makes the focal UAV highly prone to a communication security attack. Such an attack has to be averted by introducing additional features of security into the network. A recent research emphasis has been on the use of Intelligent Reflecting Surfaces (IRS) for improving the physical layer security in communication networks. Hence, its relevance to UAV networks cannot be ignored because of the wide range of purposes that UAVs promise to serve in the coming days. These surfaces consist of nanoscale antennas that can tailor the wavefronts of incident electromagnetic waves and reflect them to the UAV. The communication in such metasurface-assisted swarm networks can be modelled by means of mathematical expressions. In this letter, a model for the enhancement of physical layer security of FANETs through phase control IRS has been proposed along with simulation results. The simulation results show the relationships between different network parameters and secrecy performance.

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References

L. Reade, “Bombs over Venice,” History Today, vol. 8, no. 6, Jun. 1958.

M. Erdelj, E. Natalizio, K. R. Chowdhury and I. F. Akyildiz, "Help from the sky: Leveraging UAVs for disaster management", IEEE Pervasive Comput., vol. 16, no. 1, pp. 24-32, Jan. 2017.

R. Beard, T. McLain, D. Nelson, D. Kingston and D. Johanson, "Decentralized cooperative aerial surveillance using fixed-wing miniature UAVs", Proceedings of the IEEE, vol. 94, pp. 1306-1324, 2006.

C. Yuan, Y. Zhang, and Z. Liu, “A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques”, Canadian Journal of Forest Research, vol.45, no.7, pp.783-792, 2015. J. Y.

C. Chen, ‘‘UAV-guided navigation for ground robot tele-operation in a military reconnaissance environment,’’ Ergonomics, vol. 53, no. 8, pp. 940–950, Jul. 2010.

A. Tahir, J. Böling, M.-H. Haghbayan, H. T. Toivonen and J. Plosila, "Swarms of unmanned aerial vehicles—A survey", J. Ind. Inf. Integr., vol. 16, Dec. 2019, [online] Available: http://www.sciencedirect.com/science/article/pii/S2452414X18300086.

M. R. Brust and B. M. Strimbu, “A networked swarm model for uav deployment in the assessment of forest environments,” in Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on, pp. 1–6, IEEE, 2015.

X. Chen, J. Tang, and S. Lao, “Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols,” Applied Sciences, vol. 10, no. 10, pp. 3661, May 2020.

A. Chriki, H. Touati, H. Snoussi, and F. Kamoun, “FANET: Communication, mobility models and security issues,” Comput. Netw., vol. 163, Nov. 2019, Art. no. 106877.

J. A. Maxa, M. S. B. Mahmoud, and N. Larrieu, “Survey on UAANET Routing protocols and network security challenges,” Ad Hoc Sensor Wireless Netw., 2017.

F. Noor, M. A. Khan, A. Al-Zahrani, I. Ullah, and K. A. Al-Dhlan, “A review on communications perspective of flying ad-hoc networks: Key enabling wireless technologies, applications, challenges and open research topics,” Drones, vol. 4, no. 4, p. 65, 2020.

Y. Mekdad et al., “A Survey on Security and Privacy Issues of UAVs,” 2021, [Online]. Available: http://arxiv.org/abs/2109.14442.

S. He, Q. Wu, J. Liu, W. Hu, B. Qin, and Y.-N. Li, ‘‘Secure communications in unmanned aerial vehicle network,’’ in Proc. Int. Conf, Inf. Security Pract. Exper. Springer, vol. 2017, pp. 601–620.

J. Won, S.-H. Seo, and E. Bertino, “A secure communication protocol for drones and smart objects,” in Proc. 10th ACM Symp. Inf. Comput. Commun. Security (ASIA CCS), 2015, pp. 249–260.

G. Zhang, Q. Wu, M. Cui, and R. Zhang, “Securing UAV communications via joint trajectory and power control,” IEEE Trans. Wireless Commun., vol. 18, no. 2, pp. 1376–1389, Feb. 2019.

J. Hu, S. Bandyopadhyay, Y. H. Liu, and L. Y. Shao, “A Review on Metasurface: From Principle to Smart Metadevices,” Front. Phys., vol. 8, no. January, pp. 1–20, 2021, doi: 10.3389/fphy.2020.586087.

J. Hu, S. Bandyopadhyay, Y. H. Liu, and L. Y. Shao, “A Review on Metasurface: From Principle to Smart Metadevices,” Front. Phys., vol. 8, no. January, pp. 1–20, 2021, doi: 10.3389/fphy.2020.586087.

A. Li, S. Singh, and D. Sievenpiper, “Metasurfaces and their applications,” Nanophotonics, vol. 7, no. 6, pp. 989–1011, 2018, doi: 10.1515/nanoph-2017-0120.

N. A. Otman and M. Cada, “Phase-Matched Mid-Infrared Difference Frequency Generation Using a Nanostructured Gallium Arsenide Metamaterial with Nanoholes,” IEEE Photonics J., vol. 12, no. 3, 2020, doi: 10.1109/JPHOT.2020.2992192.

H. Zhao, Y. Shuang, M. Wei, T. J. Cui, P. del Hougne, and L. Li, “Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals,” Nat. Commun., vol. 11, no. 1, pp. 1–10, 2020, doi: 10.1038/s41467-020-17808-y.

A. Raza, S. H. R. Bukhari, F. Aadil, and Z. Iqbal, “An UAV-assisted VANET architecture for intelligent transportation system in smart cities,” Int. J. Distrib. Sens. Networks, vol. 17, no. 7, 2021, doi: 10.1177/15501477211031750.

S. Taravati and G. V. Eleftheriades, “Intelligent-Metasurface-Assisted Full-Duplex Wireless Communications,” pp. 1–7, 2021, [Online]. Available: http://arxiv.org/abs/2105.09436.

A. Asim, “Ultraviolet Vortex Generation through All-Dielectric Nano-Antennas for Free Space Optical Communication,” vol. 96, no. February, pp. 121–128, 2021.

H. Chourabi, T. Nam, S. Walker, J. R. Gil-Garcia, S. Mellouli, K. Nahon, T. A. Pardo, and H. J. Scholl, “Understanding smart cities: An integrative framework,” in System Science (HICSS), 2012 45th Hawaii International Conference on. IEEE, 2012, pp. 2289–2297.

A. U. Makarfi, K. M. Rabie, O. Kaiwartya, X. Li, and R. Kharel, “Physical Layer Security in Vehicular Networks with Reconfigurable Intelligent Surfaces,” IEEE Veh. Technol. Conf., vol. 2020-May, pp. 3–8, 2020, doi: 10.1109/VTC2020-Spring48590.2020.9128438.

Y. Ai, M. Cheffena, A. Mathur, and H. Lei, “On Physical Layer Security of Double Rayleigh Fading Channels for Vehicular Communications,” IEEE Wireless Commun. Lett., vol. 7, no. 6, pp. 1038–1041, Dec. 2018..

J. Salo, H. M. El-Sallabi, and P. Vainikainen, “The distribution of the product of independent Rayleigh random variables,” IEEE Trans. Antennas Propag., vol. 54, no. 2, pp. 639–643, Feb. 2006.

Model of the Proposed Network.

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Published

16.01.2023

How to Cite

Asim, A. ., & Cada, M. . (2023). Enhancement of Physical Layer Security in Flying Ad-hoc Networks by Intelligent Reflecting Metasurfaces. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 46–50. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2475