TY - GEN
T1 - Security Vulnerabilities of Unmanned Aerial Vehicles and Countermeasures
T2 - 31st International Conference on VLSI Design, VLSID 2018
AU - Dey, Vishal
AU - Pudi, Vikramkumar
AU - Chattopadhyay, Anupam
AU - Elovici, Yuval
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/3/27
Y1 - 2018/3/27
N2 - Drones present a novel airborne platform for new commercial and consumer tasks. Due to their increasing use, security analysis has become necessary. In this paper, we present a collection of fatal attacks, minor observations and associated security vulnerabilities for DJI Phantom 4 Pro(P4P) and Parrot Bebop 2 drones. We also propose some countermeasures to bolster the security of the analyzed drones. In addition to this, we provided a brief overview of the system and embedded architecture of these vehicles. Although DJI has tried to improve security by introducing radio communication and partially encrypted firmware, the P4P still remains vulnerable to GPS spoofing, jamming and other vulnerabilities through DJI-SDK has been exposed in our experimental study. In contrast, Bebop drones are more vulnerable to wireless attacks and we have experimentally validated this for Bebop 2 drone.
AB - Drones present a novel airborne platform for new commercial and consumer tasks. Due to their increasing use, security analysis has become necessary. In this paper, we present a collection of fatal attacks, minor observations and associated security vulnerabilities for DJI Phantom 4 Pro(P4P) and Parrot Bebop 2 drones. We also propose some countermeasures to bolster the security of the analyzed drones. In addition to this, we provided a brief overview of the system and embedded architecture of these vehicles. Although DJI has tried to improve security by introducing radio communication and partially encrypted firmware, the P4P still remains vulnerable to GPS spoofing, jamming and other vulnerabilities through DJI-SDK has been exposed in our experimental study. In contrast, Bebop drones are more vulnerable to wireless attacks and we have experimentally validated this for Bebop 2 drone.
UR - http://www.scopus.com/inward/record.url?scp=85046727968&partnerID=8YFLogxK
U2 - 10.1109/VLSID.2018.97
DO - 10.1109/VLSID.2018.97
M3 - Conference contribution
AN - SCOPUS:85046727968
T3 - Proceedings of the IEEE International Conference on VLSI Design
SP - 398
EP - 403
BT - Proceedings - 31st International Conference on VLSI Design, VLSID 2018 - Held concurrently with 17th International Conference on Embedded Systems, ES 2018
PB - IEEE Computer Society
Y2 - 6 January 2018 through 10 January 2018
ER -