Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Amateur Drone Surveillance System Based on Cognitive Internet of
  Things   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 becomes a
very important but largely unexplored topic. In this article, we firstly
present a brief survey to show the state-of-the-art studies on amateur drone
surveillance. Then, we propose a vision, named Dragnet, by tailoring the recent
emerging cognitive internet of things framework for amateur drone surveillance.
Next, we discuss the key enabling techniques for Dragnet in details,
accompanied with 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.

31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
19
The categories of this paper are: eess