submitted on 2024-10-28, 11:05 and posted on 2024-10-30, 09:34authored byRasha Abdulsalam M. Ali
Wireless communication systems are vulnerable to intentional jamming that can result in significant disruptions to critical infrastructure, military communications, and civilian networks. Early detection of such attacks is critical to mitigate their impact and prevent further damage. Classical jamming detection approaches, which are commonly employed in stationary networks, entail the jammed receiver determining the occurrence of the jammer by measuring the impact of the jamming behavior in terms of packet loss and received signal strength. Accordingly, these techniques only allow for post-event analysis. In mobile contexts, such as those involving drones or vehicles, the impact of jamming tends to increase as the receiver moves closer to the source of the interference. Hence, it is possible to detect jamming activity earlier in these scenarios, before any packet loss or other communication issues occur. In this thesis, we investigate the possibility of detecting jamming before it affects the quality of the radio link. We used this approach for early jamming detection in mobile context to anticipate events and prevent losing the power of communication, and hence, improving the ability to maintain real-time awareness and resilience. We executed a comprehensive data collection process, as a result, by adjusting different scenario setup parameters, this method can detect the existence of a jammer with a precision more than 0.99,Despite the fact that the bit error rate is zero (below 0.01), early detection is possible.