[1] R.W. Beard, T.W. McLain, Small unmanned aircraft: Theory and practice, Princeton University Press, 2012.
[2] H.S. Yahia, A.S. Mohammed, Path planning optimization in unmanned aerial vehicles using meta-heuristic algorithms: A systematic review, Environmental Monitoring and Assessment, 195(1) (2023) 30.
[3] F. Kendoul, Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems, Journal of Field Robotics, 29(2) (2012) 315-378.
[4] S. Waharte, N. Trigoni, Supporting search and rescue operations with UAVs, in: 2010 International Conference on Emerging Security Technologies, IEEE, 2010, pp. 142-147.
[5] W. Ren, Y. Cao, Distributed coordination of multi-agent networks: emergent problems, models, and issues, Springer Science & Business Media, 2010.
[6] A. Das, R. Fierro, V. Kumar, J. Ostrowski, J. Spletzer, C. Taylor, Vision-based formation control of multiple robots, IEEE Trans. Robotics and Automation, 18(5) (2002) 813-825.
[7] K.-K. Oh, M.-C. Park, H.-S. Ahn, A survey of multi-agent formation control, Automatica, 53 (2015) 424-440.
[8] T. Eren, Formation shape control based on bearing rigidity, International Journal of Control, 85(9) (2012) 1361-1379.
[9] N. Lissandrini, C.K. Verginis, P. Roque, A. Cenedese, D.V. Dimarogonas, Decentralized nonlinear MPC for robust cooperative manipulation by heterogeneous aerial-ground robots, in: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2020, pp. 1531-1536.
[10] W.B. Dunbar, R.M. Murray, Distributed receding horizon control for multi-vehicle formation stabilization, Automatica, 42(4) (2006) 549-558.
[11] X. Yao, X. Wang, F. Wang, L. Zhang, Path following based on waypoints and real-time obstacle avoidance control of an autonomous underwater vehicle, Sensors, 20(3) (2020) 795.
[12] W.-W. Zhang, Yanmin- Zeeshan, Muhammad- Han, Fengling - Song, Kai, Super-twisting sliding mode control of grid-side inverters for wind power generation systems with parameter perturbation, International Journal of Electrical Power & Energy Systems, 165 (2025).
[13] T.-H. Huang, Deqing-Wang, Zhikai-Dai, Xi-Shah, Awais, Generic Adaptive Sliding Mode Control for a Quadrotor UAV System Subject to Severe Parametric Uncertainties and Fully Unknown External Disturbance, International Journal of Control, Automation and Systems, 18 (2020).
[14] J.-S. Ghommam, M-Mnif, F., Distributed Nonlinear H∞ Control Algorithm for Multi-Agent Quadrotor Formation Flying, ISA Transactions, 96 (2020).
[15] K. Alexis, C. Papachristos, G. Nikolakopoulos, A. Tzes, Model predictive quadrotor indoor position control, in: 2011 19th Mediterranean Conference on Control & Automation (MED), IEEE, 2011, pp. 1247-1252.
[16] M. Turpin, N. Michael, V. Kumar, Concurrent assignment and planning of trajectories for large teams of interchangeable robots, in: 2013 IEEE International Conference on Robotics and Automation, IEEE, 2013, pp. 842-848.
[17] Q. Wang, C. Phillips, Cooperative path-planning for multi-vehicle systems, Electronics, 3(4) (2014) 636-660.
[18] C. Song, X. Zhang, Y. She, B. Li, Q. Zhang, Trajectory Planning for UAV Swarm Tracking Moving Target Based on an Improved Model Predictive Control Fusion Algorithm, IEEE Internet of Things Journal, (2025).
[19] Y. Singh, S. Sharma, R. Sutton, D. Hatton, A. Khan, A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents, Ocean Engineering, 169 (2018) 187-201.
[20] A.R. Girard, A.S. Howell, J.K. Hedrick, Border patrol and surveillance missions using multiple unmanned air vehicles, in: 2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No. 04CH37601), IEEE, 2004, pp. 620-625.
[21] E. Yanmaz, S. Yahyanejad, B. Rinner, H. Hellwagner, C. Bettstetter, Drone networks: Communications, coordination, and sensing, Ad Hoc Networks, 68 (2018) 1-15.
[22] O. Ceviz, S. Sen, P. Sadioglu, A survey of security in UAVs and fanets: Issues, threats, analysis of attacks, and solutions, IEEE Communications Surveys & Tutorials, (2024).
[23] Y. Chen, J. Yang, W. Trappe, R.P. Martin, Detecting and localizing identity-based attacks in wireless and sensor networks, IEEE Transactions on Vehicular Technology, 59(5) (2010) 2418-2434.
[24] A.A.R. Saif Al-Deen H. Hassan, Alaa Abdulshaheed Mousa, Zahraa Abed Hussein, Bhavna Ambudkar, Trends and Impacts across Industries, HighTech and Innovation Journal, 6(2) (2025) 524–536.
[25] R.G. William Eduardo Villegas-Ch., and Jaime Govea, Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation, Emerging Science Journal (Emerging Science Journal), (2025).
[26] A.C. Yao, Protocols for secure computations, in: 23rd annual symposium on foundations of computer science (SFCS 1982), IEEE, 1982, pp. 160-164.
[27] D.a.Z. Harinitha, Irma and Iskandar, Iskandar, Enhanced Optimization Strategy to Maximize Achievable Rate of Millimeter-Wave Full-Duplex UAV on Multiple Users, Available at SSRN 4968380, (2024).
[28] O. Goldreich, Foundations of cryptography: volume 2, basic applications, Cambridge University Press, 2001.
[29] S. Adi, How to share a secret, Commun. ACM, 22 (1979) 612-613.
[30] I. Damgård, M. Fitzi, J.B. Nielsen, T. Toft, How to split a shared secret into shared bits in constant-round, Cryptology ePrint Archive, (2005).
[31] M. Ben-Or, S. Goldwasser, A. Wigderson, Completeness theorems for non-cryptographic fault-tolerant distributed computation, in: Providing sound foundations for cryptography: on the work of Shafi Goldwasser and Silvio Micali, 2019, pp. 351-371.
[32] M.A. Mokhtari, Encrypted predictive functional control for quadcopter systems using real-number secret sharing, Aerospace Knowledge and Technology Journal, 14(2) (2026) e733309.
[33] A. Gascón, P. Schoppmann, B. Balle, M. Raykova, J. Doerner, S. Zahur, D. Evans, Privacy-preserving distributed linear regression on high-dimensional data, Cryptology ePrint Archive, (2016).
[34] Z. Lv, The security of Internet of drones, Computer Communications, 148 (2019) 208-214.
[35] S. Adelipour, E.A.D. Razgahi, M. Haeri, Vulnerability Mitigation of Urban Traffic Control Against Cyberattacks Using Secure Multi-Party Computation, IEEE Transactions on Intelligent Transportation Systems, (2025).
[36] E.-H. Amiri, Mohammad - Adelipour, Saeed, Secret Sharing Implementation of Predictive Functional Control, in: 2023 31st International Conference on Electrical Engineering (ICEE), 2023.
[37] M.A. Mokhtari, M. Rostmi, Adaptive Data-driven Controller Design for a Control Simulator with a Common Single Main Rotor-single Tail Rotor Configuration, (2023).
[38] V. Nikolaenko, S. Ioannidis, U. Weinsberg, M. Joye, N. Taft, D. Boneh, Privacy-preserving matrix factorization, in: Proceedings of the 2013 ACM SIGSAC Conference on Computer & Communications Security, 2013, pp. 801-812.
[39] E. Shi, H. Chan, E. Rieffel, R. Chow, D. Song, Privacy-preserving aggregation of time-series data, in: Annual Network & Distributed System Security Symposium (NDSS), Internet Society, 2011.
[40] W. Du, M.J. Atallah, Secure multi-party computation problems and their applications: a review and open problems, in: Proceedings of the 2001 workshop on New security paradigms, 2001, pp. 13-22.