Abstract
The thriving adoption of drones for delivering parcels, packages, medicines, etc., is surging with time. The application of drones for delivery services results in faster delivery, fuel-saving, and less energy consumption. Giant companies like Google, Amazon, Facebook, etc., are actively working on developing, testing, and improving drone-based delivery systems. So far, a lot of work has been done for improving the design, speed, operating range, security of the delivery drones, etc. However, very limited work has been done to ensure a complete and reliable last-mile delivery from the merchant’s store to the hands of the actual customer. To ensure a complete and reliable last-mile delivery, a drone must authenticate the consumer before dropping the package. Therefore, in this work, we propose a consumer authentication (Consumer-Auth) hybrid computing framework for drone delivery as a service to make sure that the parcel is perfectly delivered to the intended customer. The proposed Consumer-Auth framework enables a drone to reach the exact destination by using the GPS coordinates of the customer autonomously. After reaching the exact location, the drone waits for the customer to come to the specific pinned location then it starts a two-factor consumer authentication process, i.e., one-time password (OTP) verification and face Recognition. The experimental results manifest the effectiveness of the proposed Consumer-Auth framework to ensure a complete and reliable drone-based last-mile delivery.
Highlights
A drone or unmanned aerial vehicle (UAV), is an aircraft that flies autonomously with no onboard pilot
After reaching the exact location, the drone waits for the customer to come to the specific pinned location it starts a twofactor consumer authentication process, i.e., face recognition and one-time password (OTP) verification
In view of the above loophole, we proposed a decentralized drone delivery computation mechanism that is more efficient than the existing approaches
Summary
A drone or unmanned aerial vehicle (UAV), is an aircraft that flies autonomously with no onboard pilot. Likewise, based upon the weight, payload carriage capacity, operating area range, and altitude, the drones are classified into five categories, i.e., Nano, Micro, Mini, Small, and Tactical drones [2]. In this work, we propose a decentralized hybrid computing consumer authentication (Consumer-Auth) framework for a reliable and secure drone delivery system to make sure that the parcel is correctly delivered to the intended customer. After reaching the exact location, the drone waits for the customer to come to the specific pinned location it starts a twofactor consumer authentication process, i.e., face recognition and one-time password (OTP) verification. In the worst-case scenario, if a recipient did not appear at the required location or did not recognize as the actual recipient, the drone returns to the initial location without delivering the package
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