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Implementation of complex solutions for protection against cyber threats of electronic systems of unmanned aerial vehicles

Mammadov Aftandil, Sadigov Gurban

Zeszyty Naukowe. Transport / Politechnika Śląska

2025

z. 127

155--164

In the article, the possibilities of applying complex solutions to protect the electronic systems of unmanned aerial vehicles (UAVs) and other important processes from cyber threats were considered. The current application of UAVs in various fields makes the security of their electronic systems relevant. Aerial vehicles can be subject to attacks by attackers who exploit physical, network, and software vulnerabilities in the data exchange process. The article analyzes such methods as data encryption, encoding methods, publishing fake data, and protection against Global Positioning System spoofing attacks. The proposed complex approaches are integrated into the existing systems of UAVs, allowing to increase the level of their security. Complex solutions involve the integration of a special encryption and coding block, as well as the implementation of a module for comparing coordinates and broadcasting false signals.

Analysis of micro-electromechanical inertial measurement units for unmanned aerial vehicle applications

Mammadov Aftandil

Zeszyty Naukowe. Transport / Politechnika Śląska

2022

z. 117

129--138

Typically, an inertial navigation system (INS) is used to determine the position, speed, and orientation of an object moving relative to the earth's surface. The navigation information (position, speed and orientation) of an unmanned aerial vehicle (UAV) is needed to control its flight. Since the resistance of INS to interferences is very high, it is possible to ensure reliable flights in conditions of high-intensity noise. This article explores the principles of constructing inertial measurement units (IMU) that are part of the INS and indicates perspective directions for their development. Micro-electromechanical inertial measurement units were studied in this work, and functional and principal electrical circuits for connecting units of inertial measurements to the microcontroller were developed. The results of practical measurements of units without calibration and after calibration were obtained using the created laboratory device. Based on the obtained results, the necessity of sensor calibration was revealed, and accuracy was improved by performing calibration with the Kalman filter algorithm. The Kalman filter is the heart of the navigation system. In a low-cost system, IMU errors like bias, scale factor error and random walk noise dominate the INS error growth.