ENSURING RESILIENCE OF WIRELESS SYSTEMS TO JAMMING ATTACKS

DOI: 10.31673/2412-4338.2025.013623

Abstract

Ensuring the resistance of wireless systems to jamming attacks is a critical task in today's rapidly developing wireless communication technologies. Jamming attacks disrupt wireless networks, causing the loss of data packets and degradation of connection quality. Such attacks can have various purposes, including disrupting communications, sabotaging government and corporate systems, gaining unauthorized access, espionage, and supporting cyberwarfare. Attackers can use powerful transmitters, software-defined radios, and other means to create interference in certain frequency bands. The article presents the results of experimental studies of the impact of jamming attacks on wireless networks of the ZigBee, BLE, and Wi-Fi standards. The resistance of these technologies to interference was tested using SDR devices to monitor the spectrum and evaluate the effectiveness of the attacks. The analysis of the data obtained showed that packet loss in ZigBee networks can reach 80%, which significantly affects the speed of sensor updates. For BLE networks, the dependence of transmission errors on signal strength and data rate was investigated, which allowed us to determine the optimal parameters of protection against attacks. In particular, to reduce the impact of jamming attacks, an approach is proposed that includes changing the frequency range of transmission, using reinforcement learning algorithms for the adaptive selection of communication parameters, and using technology to redirect interference signals. In addition, a promising direction is the use of smart interference reduction methods in MIMO systems that allow counteracting jamming without prior knowledge of the characteristics of the interfering signal. Thus, the study confirmed that the protection of wireless systems from jamming attacks can be achieved by implementing adaptive control mechanisms, dynamic redistribution of communication resources, and the use of intelligent signal analysis methods. The use of these approaches will help improve the reliability of wireless networks and ensure their safe operation in the face of possible threats.

Keywords: jamming, interference, ZigBee, BLE, Wi-Fi, software-defined radio, noise generator, HackRF One, Internet of Things, unmanned aerial vehicle.