Штучний інтелект

Анотація: The article focuses on addressing the issue of data protection in the context of dynamic network topology and limited resources. In modern systems of autonomous unmanned platforms, the key task is to ensure reliable, secure, and energy-efficient information exchange between agents in conditions of constant changes in the swarm structure. The approaches proposed in the article include the use of lightweight cryptographic algorithms SIMON and SPECK, which provide minimal data transmission delays, low power consumption, and high resistance to attacks at the interception and modification level. The Q-learning algorithm, which allows agents to quickly adapt to changes in network topology, is discussed. Simulations conducted using the NS-3 platform demonstrated the advantage of intelligent approaches based on self-learning and cooperative decision-making methods in ensuring high system performance with minimal energy consumption and rapid adaptation to environmental changes. Security assessments confirmed the system's resilience to routing and data interception attacks, making these methods promising for further use in autonomous unmanned platforms.

Ключові слова: intelligent algorithms, unmanned platforms, secure data exchange, lightweight encryption protocols, self-learning, dynamic swarms, cooperation algorithms

Посилання:

1. Raja, G., Anbalagan, S., Ganapathisub-ramaniyan, A., Selvakumar, M. S., Bashir, A. K., & Mumtaz, S. (2021). Efficient and secured swarm pattern multi-UAV communication. IEEE Transactions on vehicular technology, 70(7), 7050-7058.
2. Kallenborn, Z. (2022). InfoSwarms: Drone swarms and information warfare. The US Army War College Quarterly: Parameters, 52(2), 87-102.
3. Lehto, M., & Hutchinson, B. (2020, March). Mini-drones swarms and their potential in conflict situations. In 15th international conference on cyber warfare and security (Vol. 12, pp. 326-334).
4. Chen, J., Sun, J., & Wang, G. (2022). From unmanned systems to autonomous intelligent systems. Engineering, 12, 16-19.
5. Mao, B., Tang, F., Fadlullah, Z. M., & Kato, N. (2019). An intelligent route computation approach based on real-time deep learning strategy for software defined communication systems. IEEE Transactions on Emerging Topics in Computing, 9(3), 1554-1565.
6. Yarmilko A. V., Nikitiuk V. S. (2021) Modeliuvannia hrupovoi povedinky avtonomnyh ahentav za stsenariiem konsolidatsii. Visnyk KrNU imeni Mykhaila Ostrohradskoho. 6(131). 66–72. DOI: 10.30929/1995-0519.2021.6.66-72. [in Ukrainian]
7. Deebak, B. D., & Al-Turjman, F. (2020). A smart lightweight privacy preservation scheme for IoT-based UAV communication systems. Computer Communications, 162, 102-117.
8. Yarmilko, A., Rozlomii, I., Naumenko, S. (2024). Dependability of Embedded Systems in the Industrial Internet of Things: Information Security and Reliability of the Communication Cluster. In: Faure, E., et al.Information Technology for Education, Science, and Technics. ITEST 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 222, pp. 235–249. Springer, Cham. https://doi.org/10.1007/978-3-031-71804-5_16
9. Herlambang, T., Rahmalia, D., & Yulianto, T. (2019, April). Particle swarm optimization (pso) and ant colony optimization (aco) for optimizing pid parameters on autonomous underwater vehicle (auv) control system. In Journal of Physics: Conference Series (Vol. 1211, No. 1, p. 012039). IOP Publishing.
10. Pasandi, L., Hooshmand, M., & Rahbar, M. (2021). Modified A* Algorithm integrated with ant colony optimization for multi-objective route-finding; case study: Yazd. Applied Soft Computing, 113, 107877.
11. Liu, J., Wang, Q., He, C., Jaffrès-Runser, K., Xu, Y., Li, Z., & Xu, Y. (2020). QMR: Q-learning based multi-objective optimization routing protocol for flying ad hoc networks. Computer Communications, 150, 304-316.
12. Rozlomii, I., Yarmilko, A., & Naumenko, S. (2024, April). Data security of IoT devices with limited resources: challenges and potential solutions. In door (pp. 85-96).
13. Mitsenko, S., Naumenko, S., Rozlomii, I. & Yarmilko, A. (2023). Information Protection and Recovery Hamming Codes Based'Hash Technique. In Proceedings of the 11-th International Conference" Information Control Systems & Technologies" (Vol. 3513, pp. 64-67).
14. Bansal, G., & Sikdar, B. (2021). S-MAPS: Scalable mutual authentication protocol for dynamic UAV swarms. IEEE Transactions on Vehicular Technology, 70(11), 12088-12100.
15. Lamba, M. A., Tamrakar, M. G., & Gaur, M. H. (2022). Simulation of a UAV-based wireless sensor network on NS-3 to analyze IEEE 802.11 performance. Mathematical Statistician and Engineering Applications, 71(4), 6722-6737.