Raja, G, Anbalagan, S, Kottursamy, K, Aparna, GS, Kumaresan, J and Ihsan, M 
ORCID: https://orcid.org/0000-0002-8753-7884
2020,
Authorized arming and safeguarded landing mechanism for drones
, in: IEEE GLOBECOM 2020 Workshop on V2X Technologies and Advanced Security/Privacy, 7th-11th December 2020, Taipei, Taiwan/Online.
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Abstract
Safety and security is a major concern that needs attention in the field of Unmanned Aerial Vehicles (UAVs) or drones.
The failure to ensure high standards of security will inevitably
result in the endangerment of people and property. Crafting
such security measures is heavily dependent on the hardware
and software control capabilities of drones. In a drone mission,
arming involves controlling drone motors and plays a critical part
in its flight. Unauthorized arming is a major security challenge
associated with drones. To this end, a Randomized Logistic map
based Time-dependent One Time Password (Randomized LTOTP)
algorithm as a mechanism of authenticating the drone-arming
procedure is proposed. In addition, unintended flight termination
is a potential safety threat that needs to be mitigated in any
drone application. Existing systems trigger drone landing as soon
as they detect low battery levels. This often results in hazardous
and spontaneous landing conditions. As an attempt to mitigate
this issue, a Flag based Battery Fail-Safe (FBFS) algorithm is
proposed to monitor in-flight battery levels and safeguards the
landing by prolonging the mission until the landing is safe. The
simulation results show that the Randomized LTOTP algorithm
achieves 92% randomness, which improves the security of the
arming process, and FBFS improves the flight time approximately
by 3-fold compared with the existing algorithm.
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