On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review

Abstract

The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect privacy of people from the illegitimate uses of commercial drones, a drone detection system is inevitable. In particular, there is a need for a drone detection system that is efficient, accurate, robust, costeffective and scalable. Recognizing the importance of the problem, several drone detection approaches have been proposed over time. However, none of these provides sufficient performance due to the inherited limitations of the underlying detection technology. More specifically, there are trade-offs among various performance metrics e.g., accuracy, detection range, and robustness against environmental conditions etc. This motivates an in-depth study and critical analysis of the existing approaches, highlighting their potential benefits and limitations. In this paper, we provide a rigorous overview of the existing drone detection techniques and a critical review of the state-of-the-art. Based on the review, we provide key insights on the future drone detection systems. We believe these insights will provide researchers and practicing engineers a holistic view to understand the broader context of the drone detection problem.

ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System

“…The maintenance and security of drone transportation present a variety of surveillance issues due to the continued advancement of the drones’ underlying technology [ 1 , 20 ]. To conduct drone surveillance, it is necessary to communicate with, identify, authenticate, elicit, and disarm drones considered dangerous from a drone pool in a DTN.…”

“…Regardless of the plethora of potential advantages that prompted the creation of unmanned aerial vehicles (UAV), the proliferation of drones is likely to cause unprecedented disruption of future air-based transport ecosystems due to their susceptibility to societal and cybersecurity threats from non-state actors [ 1 , 2 ]. The author in [ 3 ] argues that security and privacy issues are frequently raised in relation to novel concepts propelled by innovation.…”

A UAV-Assisted Stackelberg Game Model for Securing loMT Healthcare Networks

“…UAVs are gaining popularity in various domains, including healthcare. In healthcare, UAVs are used for emergency medical transportation, assisting patients in remote areas, and delivering essential medical supplies [25]. This paper presents a detailed review of related work on using UAVs in emergency medical situations, focusing on healthcare networking.…”

A Review of Circularly Polarized Dielectric Resonator Antennas: Recent Developments and Applications

“…As the applications for the vehicles are growing rapidly day by day, lightweight, compact size, high-gain, wide bandwidth and high-efficiency antennas are in high demand to enhance the capacity of wireless systems, reduce the overall system loss, and save the energy [112,113]. Moreover, a fine-range resolution and accurate navigation are also necessary to ensure efficient and safe operation even in strong multipath environments and intended interference [114]. To solve the above issues, DRAs are used as they offer wide bandwidth, high gain, high efficiency, and low losses that make them excellent candidates for vehicular applications.…”