Paper Info
Title
Matthan: Drone Presence Detection by Identifying Physical Signatures in the Drone's RF Communication.
Abstract
Drones are increasingly flying in sensitive airspace where their presence may cause harm, such as near airports, forest fires, large crowded events, secure buildings, and even jails. This problem is likely to expand given the rapid proliferation of drones for commerce, monitoring, recreation, and other applications. A cost-effective detection system is needed to warn of the presence of drones in such cases. In this paper, we explore the feasibility of inexpensive RF-based detection of the presence of drones. We examine whether physical characteristics of the drone, such as body vibration and body shifting, can be detected in the wireless signal transmitted by drones during communication. We consider whether the received drone signals are uniquely differentiated from other mobile wireless phenomena such as cars equipped with Wi- Fi or humans carrying a mobile phone. The sensitivity of detection at distances of hundreds of meters as well as the accuracy of the overall detection system are evaluated using software defined radio (SDR) implementation.
Year
DOI
Venue
2017
10.1145/3081333.3081354
MobiSys
Field
DocType
Citations 
Computer science,Mobile wireless,Software-defined radio,Computer security,Airspace class,Real-time computing,Rf communication,Drone,Wireless signal,Mobile phone,Embedded system
Conference
16
PageRank 
References 
Authors
0.81
19
6
Name
Order
Citations
PageRank
Phuc Nguyen19617.57
Hoang Truong2213.29
Mahesh Ravindranathan3262.18
Anh Nguyen48013.38
Richard Han52771200.83
Tam Vu611615.06