Abstract
The issues of ensuring the safety of UAVs are quite acute in modern times. UAVs can be used to implement critical processes. Such processes can be relaying communications, searching for missing persons, reconnaissance operations, guarding facilities, and much more. At the same time, the UAV is often outside the controlled area and is physically unprotected. It is difficult to protect UAVs and communication channels between UAVs since the wireless communication channels used for UAVs are physically unprotected. There are many options for physical protection that involve imposing additional noise on a channel. In this case, an attacker can try to carry out an information attack or, for a start, simply detect the UAV. In our research, we propose a way to hide UAVs by creating false information fields. Next, we test our method by analyzing the radio spectrum and comparing our fake fields with legitimate ones. The results showed the effectiveness of the developed software, which allows you to create fake access points that can be detected by an intruder and allow you to hide the real transmission.
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References
Xu C, Liao X, Tan J, Ye H, Lu H (2020) Recent research progress of unmanned aerial vehicle regulation policies and technologies in urban low altitude. IEEE Access 8:74175–74194. https://doi.org/10.1109/ACCESS.2020.2987622
Shi Y, Bai M, Li Y (2018) Study on UAV remote sensing technology in irrigation district informationization construction and application. In: 10th international conference on measuring technology and mechatronics automation (ICMTMA). Changsha, China, pp 252–255. https://doi.org/10.1109/ICMTMA.2018.00067
Gao X, Jia H, Chen Z, Yuan G, Yang S (2020) UAV security situation awareness method based on semantic analysis. In: 2020 IEEE international conference on power, intelligent computing and systems (ICPICS). Shenyang, China, pp 272–276. https://doi.org/10.1109/ICPICS50287.2020.9201954
Hooper M et al (2016) Securing commercial Wi-Fi-based UAVs from common security attacks. In: MILCOM 2016—2016 IEEE military communications conference. Baltimore, MD, USA, pp 1213–1218. https://doi.org/10.1109/MILCOM.2016.7795496
Mikhalevich IF, Trapeznikov VA (2019) Critical infrastructure security: alignment of views. In: Systems of signals generating and processing in the field of on board communications. Moscow Technical University of Communications and Informatics, Russia, pp 1–5. https://doi.org/10.1109/SOSG.2019.8706821
Ilioudis CV, Clemente C, Soraghan J (2019) Understanding the potential of self-protection jamming on board of miniature UAVs. In: International radar conference (RADAR). Toulon, France, pp 1–6. https://doi.org/10.1109/RADAR41533.2019.171405
Li X, Ju R, Wang H, Sun Y (2018) The design and research of data transmission on remote radio control in different noise channel. In: 13th world congress on intelligent control and automation (WCICA). Changsha, China, pp 1306–1311. https://doi.org/10.1109/WCICA.2018.8630340
Proshkin N, Basan E, Lapina M (2021) Radio frequency method for emulating multiple UAVs. In: 2021 17th international conference on intelligent environments (IE). Dubai, United Arab Republic, pp 1–4. https://doi.org/10.1109/IE51775.2021.9486599
Deligne E (2012) ARDrone corruption. J Comput Virol 8:15–27
Astaburuaga I, Lombardi A, La Torre B, Hughes C, Sengupta S (2019) Vulnerability analysis of AR.Drone 2.0, an embedded Linux system. In: IEEE 9th annual computing and communication workshop and conference (CCWC). United States, pp 0666–0672. https://doi.org/10.1109/CCWC.2019.8666464
Caballé MC, Augé AC, Lopez-Aguilera E, Garcia-Villegas E, Demirkol I, Aspas JP (2019) An alternative to IEEE 802.11ba: wake-up radio with legacy IEEE 802.11 transmitters. IEEE Access 7:48068–48086. https://doi.org/10.1109/ACCESS.2019.2909847
Madruga S, Tavares A, Brito A, Nascimento T (2018) A project of an embedded control system for autonomous quadrotor UAVs. In: Latin American robotic symposium, 2018 Brazilian symposium on robotics (SBR) and 2018 workshop on robotics in education (WRE). João Pessoa, Brazil, pp 483–489. https://doi.org/10.1109/LARS/SBR/WRE.2018.00091
Carranza A, Mayorga D, DeCusatis C (2018) Comparison of wireless network penetration testing tools on desktops and Raspberry Pi platforms. In: Proceedings of the 16th LACCEI international multi-conference for engineering, education and technology. Boca Raton, Florida, USA, pp 1–5
Abril-GarcÃa JH et al (2019) Application to monitoring a USB control with Python in windows, Mac OS and Raspbian OS. ECORFAN J Democratic Repub Congo 5(8):1–6
Korneev S (2008) Digital spectrum analyzer GSP-7830 manufactured by GW Instek. Compon Technol 1(78):158–162
Acknowledgements
This research was funded by the Russian Science Foundation grant number 21-79-00194, https://rscf.ru/project/21-79-00194/., in Southern Federal University.
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Basan, E., Proshkin, N. (2023). Technology for Creation of False Information Fields for UAV Protection. In: Joshi, A., Mahmud, M., Ragel, R.G. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 400. Springer, Singapore. https://doi.org/10.1007/978-981-19-0095-2_72
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DOI: https://doi.org/10.1007/978-981-19-0095-2_72
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