A survey on the role of UAVs in the communication process: A technological perspective

Alsuhli, Ghada; Fahim, Ahmed; Gadallah, Yasser

doi:10.1016/j.comcom.2022.07.021

Cited by 18 publications

(7 citation statements)

References 226 publications

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“…To prevent such attacks, it is essential to use strong passwords or passphrases, enable multifactor authentication, and set up account lockout restrictions that prevent attackers from continuously attempting different passwords. By implementing these measures, the risk of brute force attacks can be significantly reduced in the UAV-cloud environment [41].…”

Section: Definitionmentioning

confidence: 99%

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

Airlangga

Liu

2023

Drones

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An unmanned aerial vehicle (UAV) is an autonomous flying robot that has attracted the interest of several communities because of its capacity to increase the safety and productivity of labor. In terms of software engineering, UAV system development is extremely difficult because the focus is not only on functional requirement fulfillment, but also on nonfunctional requirements such as security and safety, which play a crucial role in mission success. Consequently, architecture robustness is very important, and one of the most common architectures developed is based on a centralized pattern in which all UAVs are controlled from a central location. Even though this is a very important problem, many developers must expend a great deal of effort to adapt and improve security. This is because there are few practical perspectives of security development in the context of UAV system development; therefore, the study of attack and defense patterns in centralized architecture is required to fill this knowledge gap. This paper concentrates on enhancing the security aspect of UAV system development by examining attack and defense patterns in centralized architectures. We contribute to the field by identifying 26 attack variations, presenting corresponding countermeasures from a software analyst’s standpoint, and supplying a node.js code template for developers to strengthen their systems’ security. Our comprehensive analysis evaluates the proposed defense strategies in terms of time and space complexity, ensuring their effectiveness. By providing a focused and in-depth perspective on security patterns, our research offers crucial guidance for communities and developers working on UAV-based systems, facilitating the development of more secure and robust solutions.

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Section: Definitionmentioning

confidence: 99%

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

Airlangga

Liu

2023

Drones

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“…In this paper, carbon plate material is used as the frame of the aerial robot to reduce its weight of the aerial robot, and the design of the outer ring protective frame is added to improve the use frequency of the sensor and greatly improve the endurance of the aerial robot [3][4][5][6]. In addition, the four axis rotor "X" structure is adopted to avoid the phenomenon that the acceleration time is too long and the sensor is blocked due to the "+" structure [7][8][9].…”

Section: Aerial Robot Modelmentioning

confidence: 99%

Obstacle Avoidance Design of Aerial Robot Combining A star algorithm Algorithm and Optical Dynamic Capture Method

Shi

Cai²,

Yuan³

2023

J. Phys.: Conf. Ser.

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The traditional A star obstacle avoidance algorithm is based on binocular cameras for indoor positioning, which requires rich obstacle feature points and has the risk of explosion in a single indoor environment. In this paper, the method of merging the A star algorithm and optical dynamic capture is proposed. By pasting Marker points on key moving parts, the actual position of the aerial robot is calculated with the optical dynamic capture system, and compared with the target position planned by the A star algorithm and corrected in real time during a flight. Through the experimental analysis of the original acceleration of the aerial robot and different position between the target point and the actual point in the flight process, the stability and flight accuracy of the aerial robot in the flight process can be significantly improved, which has good practical application value.

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“…Remark 1. The first constraint in Equation (5) requires that the distance between the desired trajectories of any two quadrotor UAVs should be greater than R s + R d to ensure that they can accurately track the desired trajectories. Because when the distance is less than R s + R d , under the action of the collision avoidance function of the controller, the quadrotor UAV first needs to ensure that there will be no collision, and then track the desired trajectory.…”

Section: Control Objectivementioning

confidence: 99%

“…Because when the distance is less than R s + R d , under the action of the collision avoidance function of the controller, the quadrotor UAV first needs to ensure that there will be no collision, and then track the desired trajectory. The second constraint condition in Equation (5) requires that the distance between the desired trajectory of the quadrotor UAV and the obstacle is greater than R d + R oj . Only when this condition is met can the quadrotor UAV accurately track the desired trajectory; otherwise, the obstacle avoidance function will be activated to make the quadrotor UAV deviate from the desired trajectory.…”

Section: Control Objectivementioning

confidence: 99%

“…With the advancement of UAV technology and its increasing application in fields such as intelligent transportation, 1 path planning, 2 engineering geology, 3 collaborative control, 4 communication, 5 and other fields, quadrotor UAV has become a hot field of current research and application and is one of the important directions of future aircraft development. With the continuous expansion of the quadrotor UAV operation field and the continuous improvement of operation requirements, higher performance standards are required.…”

Section: Introductionmentioning

confidence: 99%

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Learning‐based collision avoidance and robust H_∞ optimal formation control for uncertain quadrotor UAV systems

Li,

Wang,

Luo

et al. 2023

Intl J Robust & Nonlinear

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This paper investigates the robust optimal formation control for the position subsystem of quadrotor unmanned aerial vehicles (UAVs) subject to external disturbances and collision constraints. To prevent collision with both members of the formation and external obstacles, a collision avoidance potential function is constructed using relative position and velocity information. The basic bounded control input can ensure the stable flight and collision avoidance of a quadrotor UAV system. Based on the approximate dynamic programming (ADP) framework and two‐player zero‐sum differential game theory, the optimal controller is designed to further enhance the control performance of the system. The optimal value function is approximated by a single layer neural network, which avoids solving complex nonlinear Hamilton‐JacobiIsaac (HJI) equation. The stability of the closed loop system is proved. The effectiveness of the robust optimal formation controller based on learning is validated through MATLAB simulation in two distinct scenarios.

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A survey on the role of UAVs in the communication process: A technological perspective

Cited by 18 publications

References 226 publications

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

Obstacle Avoidance Design of Aerial Robot Combining A star algorithm Algorithm and Optical Dynamic Capture Method

Learning‐based collision avoidance and robust H_∞ optimal formation control for uncertain quadrotor UAV systems

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A survey on the role of UAVs in the communication process: A technological perspective

Cited by 18 publications

References 226 publications

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

A Study of the Data Security Attack and Defense Pattern in a Centralized UAV–Cloud Architecture

Obstacle Avoidance Design of Aerial Robot Combining A star algorithm Algorithm and Optical Dynamic Capture Method

Learning‐based collision avoidance and robust H∞ optimal formation control for uncertain quadrotor UAV systems

Contact Info

Product

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Learning‐based collision avoidance and robust H_∞ optimal formation control for uncertain quadrotor UAV systems