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Information × Registration Number 0225U004130, (0122U002361) , R & D reports Title Intelligent system of secure packet data transmission based on reconnaissance unmanned aerial vehicle popup.stage_title Інтелектуалізована система захищеного передавання пакетних даних на базі розвідувально-пошукового безпілотного літального апарату. Head Sergiy Gnatiuk, Доктор технічних наук Registration Date 13-11-2025 Organization National Aviation University popup.description1 Ensuring the confidentiality of packet data transmitted from UAV reconnaissance cameras by optical channel in conditions of limited computing resources based on modern methods of artificial intelligence, compression and encryption. popup.description2 The project is dedicated to solving the scientific and technical problem of ensuring the confidentiality of packet data provided from the BPLA reconnaissance conversion camera in conditions of limited computing capabilities of on-board information processing systems through the use of data compression and encryption methods, as well as artificial intelligence models and tools. As part of the project, it is planned to improve the method of digital image embossing to reduce the computational load on the automated data processing system, to improve the method of low-resource cryptography, which will be created resource-intensive calculations and operations and optimized for software application on a single-board computer in real time. Based on these methods, a packet data transmission protocol will be developed (including processing, compression and encryption procedures). A new set of crypto algorithms will also be formed, which are presented during the analysis of crypto algorithms (including the development of the project authors), which will be optimized, have different cryptographic strength and speed, which allows ensuring the flexibility and adaptability of the system in different operating conditions. In addition, it is planned to develop and implement a model of an intelligent subsystem that supports the decisions made, based on a deep unidirectional neural network DFF, which allows for the implementation of the optimal choice of a crypto algorithm with the proposed data set. The creation of an experimental sample of a reconnaissance and search drone with an on-board system for collecting, analyzing and packet transmitting target information based on a client-server architecture provides practical implementation of the models, methods and tools proposed by the authors in real time. Product Description popup.authors Kovtun Mariia Sergiy Gnatyuk Oleksiy M. Kinzeryavyy Myroslav Ryabiy Tupko Nataliya Petrivna Chekanov Yevhenii M. Polishchuk Yulia Ya. Okhrimenko Tetiana O. Dmytro Proskurin Bohdan M. Horbakha Yuliia S. Mozolova Marat T. Ramazanov Ivana V. Fedorenko Oksana A. Lanovaia Liudmyla V. Kolumbet popup.nrat_date 2025-11-13 Close