An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

By Guoru Ding, Qihui Wu, Linyuan Zhang, Yun Lin, Theodoros A. Tsiftsis, Yu-dong Yao. IEEE Communications Magazine, 2017

331 citations recorded by the source corpus.

Drones, also known as mini-unmanned aerial vehicles, have attracted increasing attention due to their boundless applications in communications, photography, agriculture, surveillance, and numerous public services. However, the deployment of amateur drones poses various safety, security, and privacy threats. To cope with these challenges, amateur drone surveillance has become a very important but largely unexplored topic. In this article, we first present a brief survey to show the stateof- the-art studies on amateur drone surveillance. Then we propose a vision, named Dragnet, tailoring the recently emerging Cognitive Internet of Things framework for amateur drone surveillance. Next, we discuss the key enabling techniques for Dragnet in detail, accompanied by the technical challenges and open issues. Furthermore, we provide an exemplary case study on the detection and classification of authorized and unauthorized amateur drones, where, for example, an important event is being held and only authorized drones are allowed to fly over.

Subfields: Aerospace Engineering, Computer Science Applications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/af3a68ea30237fc69fd2e562a76789215d6c3a8f

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In Aerospace Engineering

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Citations in the corpus

Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer (2020, background): “[20] proposed a vision, named Dragnet, tailoring the recently emerging Cognitive Internet of Things (IoT) framework for amateur drone surveillance and discussed the key enabling techniques for Dragnet in detail, as well as the technical challenges and open issues.”
UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “is referred to as cognitive UAV communications [67], [68].”
Security analysis of drones systems: Attacks, limitations, and recommendations (2020, neutral): “For this reason, four main different military countermeasures were suggested and implemented to overcome the UAV security threats [374] , [375] .”
UAV assistance paradigm: State-of-the-art in applications and challenges (2020, background): “As a consequence, several contributions involving UAVs have been developed in the last ﬁve years, which are summarized in Table X.”
Beyond 5G With UAVs: Foundations of a 3D Wireless Cellular Network (2018, background): “inherent ability for line-of-sight (LoS) communications, droneBSs can provide broadband, wide-scale, and reliable wireless connectivity during disasters and temporary events [4]–[11].”
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “Another important application of UAVs is in Internet of Things (IoT) scenarios [22]–[26] whose devices”