Protecting UAVs using Cybersecurity Techniques

By: Vajratiya Vajrobol, International Center for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taiwan, vvajratiya@gmail.com

Ensuring secure communication and protecting against cyber threats are critical aspects of Unmanned Aerial Vehicles (UAVs). A comprehensive strategy to protect UAV operations are illustrated as follows

  • Communication Encryption

For communication between the UAV and its ground control station, robust encryption methods must be put in place. This guarantees the security of sensitive data while it is being transmitted [1].

  • Mechanisms of Authentication

Strong authentication procedures are introduced to stop unwanted access to UAV systems. Multi-factor authentication and safe login processes fall under this category [2].

  • Instruction in Cybersecurity

Educating UAV operators and maintenance staff about cybersecurity risks can improve awareness of these dangers. One of the most important components of thorough cybersecurity protection is identifying and addressing possible threats [3].

  • Frequent updates for software

Updating UAV firmware and software is crucial for correcting security holes and defending against known online threats. Regular maintenance practices must include regular updates [4].

  • Limitations on Flight and Geofencing:

By putting geofencing technology into practice, one may create virtual barriers that keep UAVs out of restricted airspace. This lessens the possibility of malevolent drone activity in delicate places [5].

  • Systems for detecting intrusions:

Real-time identification and response to possible cyberthreats can be facilitated by the use of intrusion detection systems. Alerts for additional research may be triggered by abnormalities in behaviour or communication [6].

To guarantee the safe and secure functioning of these aerial devices, cybersecurity issues must be addressed as long as UAVs are to play a significant part in a variety of industries.. Fostering the sustained growth and dependability of UAV applications across multiple sectors.

References

  1. Atoev, S., Kwon, O. J., Kim, C. Y., Lee, S. H., Choi, Y. R., & Kwon, K. R. (2019, July). The secure UAV communication link based on OTP encryption technique. In 2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 1-3). IEEE.
  2. Alladi, T., Bansal, G., Chamola, V., & Guizani, M. (2020). SecAuthUAV: A novel authentication scheme for UAV-ground station and UAV-UAV communication. IEEE Transactions on Vehicular Technology, 69(12), 15068-15077.
  3. Tran, T. D., Thiriet, J. M., Marchand, N., El Mrabti, A., & Luculli, G. (2019, September). Methodology for risk management related to cyber-security of Unmanned Aircraft Systems. In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 695-702). IEEE.
  4. Krishna, C. L., & Murphy, R. R. (2017, October). A review on cybersecurity vulnerabilities for unmanned aerial vehicles. In 2017 IEEE International Symposium on Safety, Security and Rescue Robotics (SSRR) (pp. 194-199). IEEE.
  5. Hermand, E., Nguyen, T. W., Hosseinzadeh, M., & Garone, E. (2018, June). Constrained control of UAVs in geofencing applications. In 2018 26th Mediterranean Conference on Control and Automation (MED) (pp. 217-222). IEEE.
  6. Choudhary, G., Sharma, V., You, I., Yim, K., Chen, R., & Cho, J. H. (2018, June). Intrusion detection systems for networked unmanned aerial vehicles: a survey. In 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 560-565). IEEE.
  7. Gupta, B. B., & Sheng, Q. Z. (Eds.). (2019). Machine learning for computer and cyber security: principle, algorithms, and practices. CRC Press.
  8. Bhushan, K., & Gupta, B. B. (2017). Security challenges in cloud computing: state-of-art. International Journal of Big Data Intelligence4(2), 81-107.
  9. Singh, A., & Gupta, B. B. (2022). Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions. International Journal on Semantic Web and Information Systems (IJSWIS)18(1), 1-43.
  10. Gupta, B. B., Perez, G. M., Agrawal, D. P., & Gupta, D. (2020). Handbook of computer networks and cyber security. Springer10, 978-3.
  11. Zhang, Q., Guo, Z., Zhu, Y., Vijayakumar, P., Castiglione, A., & Gupta, B. B. (2023). A deep learning-based fast fake news detection model for cyber-physical social services. Pattern Recognition Letters168, 31-38.
  12. Lv, L., Wu, Z., Zhang, L., Gupta, B. B., & Tian, Z. (2022). An edge-AI based forecasting approach for improving smart microgrid efficiency. IEEE Transactions on Industrial Informatics18(11), 7946-7954.

Cite As:

Vajrobol V. (2024) Protecting UAVs using Cybersecurity Techniques, Insights2Techinfo, pp.1

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