Robust 3D trajectory and power design in probabilistic LoS channel for UAV-enabled cooperative jamming

Hu, Hao; Li, Yilian; Hu, Yanmei; Zhu, Xing

doi:10.1016/j.vehcom.2021.100387

Cited by 7 publications

(2 citation statements)

References 55 publications

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“…The location of the drone is important in order to reduce the waiting time and delay of the user or improve the quality of the service provided to users [ 21 ]. In [ 22 ], the disturbance power intensity and power trajectory path that occur when protecting legitimate nodes located on the ground using friendly jamming signals were studied. At that time, it was calculated by estimating the location of the eavesdropper, but the applicability is low because it is difficult to determine the location of the eavesdropper in the actual situations.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

Jeon

Lee

Sung

et al. 2022

Sensors

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Threats of eavesdropping and information leakages have increased sharply owing to advancements in wireless communication technology. In particular, the Internet of Things (IoT) has become vulnerable to sniffing or jamming attacks because broadcast communication is usually conducted in open-network environments. Although improved security protocols have been proposed to overcome the limitations of wireless-communication technology and to secure safe communication channels, they are difficult to apply to mobile communication networks and IoT because complex hardware is required. Hence, a novel security model with a lighter weight and greater mobility is needed. In this paper, we propose a security model applying cooperative friendly jamming using artificial noise and drone mobility, which are autonomous moving objects, and we demonstrate the prevention of eavesdropping and improved security through simulations and field tests. The Cooperative Friendly Jamming Techniques for Drone-based Mobile Secure Zone (CFJ-DMZ) can set a secure zone in a target area to support a safe wireless mobile communication network through friendly jamming, which can effectively reduce eavesdropping threats. According to the experimental results, the average information leakage rate of the eavesdroppers in CFJ-DMZ-applied scenarios was less than or equal to 3%, an average improvement of 92% over conventional methods.

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Section: Related Workmentioning

confidence: 99%

Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

Jeon

Lee

Sung

et al. 2022

Sensors

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“…The mathematical description of the cooperative strike problem of multiple UAVs against multiple targets is complex [7], the process and terminal constraints are many, and the optimization solution is difficult [8]. In recent years, many scholars have made a lot of research on the autonomous flight [9], cluster algorithms [10], intelligent control [11], cooperative flight [12], and so on, among which the trajectory planning of aircraft clusters is a very important aspect [13]. Trajectory planning means that given the parameters of the aircraft, the mission point, and the battlefield situation, we can plan the threedimensional trajectory with the best performance at a certain height so that the aircraft can avoid the threat area and reach the mission point [14].…”

Section: Introductionmentioning

confidence: 99%

Optimal trajectory planning technology for the cooperative flight of unmanned aerial vehicles

Feng

Nan

2023

J. Phys.: Conf. Ser.

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In the face of a complex battlefield environment, a multi-dimensional dynamic planning algorithm is proposed to solve the trajectory planning problem of the cooperative flight mission process of unmanned aerial vehicles. Under the constraints of aircraft kinematics, the collision between aircraft and space-time cooperation, and under the influence of random wind field, threat area, and other interference factors, the algorithm can make the UAV group pass through the mission points as much as possible, and at the same time, smooth the track points to make the trajectory reach the optimal solution. Finally, the simulation results of the program written in C++ and MATLAB show that the algorithm can meet the global optimization, and can calculate in real-time and online. It has strong engineering application value.

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UAV Jamming Localization Against Random Eavesdropper Positions Using Cuckoo Search Algorithm

Taleb,

Benssalah

2024

Security and Privacy

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Unmanned Aerial Vehicle (UAV) jammer localization refers to the process of determining the optimal location for a UAV jammer to be placed to interfere with an eavesdropper's communication with a target. In fact, the main goal is to maximize the jamming signal power at the eavesdropper's position while minimizing the jamming signal power at the target's position. This paper leverages Cuckoo Search algorithm for the secrecy rate optimization which refers to the amount of secure information transmitted from the target to the intended receiver. The model is composed with an UAV jammer, two ground nodes and an illegitimate user with unknown position. True uniform random deployment processes is used to model the randomness of the eavesdropper location. Further, a novel summed secrecy approach is proposed to determine the overall optimal UAV position. Simulations demonstrate the superiority of the novel approach versus other benchmark algorithms across various numbers of eavesdroppers.

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Robust 3D trajectory and power design in probabilistic LoS channel for UAV-enabled cooperative jamming

Cited by 7 publications

References 55 publications

Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

Optimal trajectory planning technology for the cooperative flight of unmanned aerial vehicles

UAV Jamming Localization Against Random Eavesdropper Positions Using Cuckoo Search Algorithm

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