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A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service

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...

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Detalles Bibliográficos
Autores principales: Hannan, Abdul, Hussain, Faisal, Ali, Noman, Ehatisham-Ul-Haq, Muhammad, Ashraf, Muhammad Usman, Mohammad Alghamdi, Ahmed, Saeed Alfakeeh, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087081/
https://www.ncbi.nlm.nih.gov/pubmed/33930047
http://dx.doi.org/10.1371/journal.pone.0250737
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author Hannan, Abdul
Hussain, Faisal
Ali, Noman
Ehatisham-Ul-Haq, Muhammad
Ashraf, Muhammad Usman
Mohammad Alghamdi, Ahmed
Saeed Alfakeeh, Ahmed
author_facet Hannan, Abdul
Hussain, Faisal
Ali, Noman
Ehatisham-Ul-Haq, Muhammad
Ashraf, Muhammad Usman
Mohammad Alghamdi, Ahmed
Saeed Alfakeeh, Ahmed
author_sort Hannan, Abdul
collection PubMed
description 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.
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spelling pubmed-80870812021-05-06 A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service Hannan, Abdul Hussain, Faisal Ali, Noman Ehatisham-Ul-Haq, Muhammad Ashraf, Muhammad Usman Mohammad Alghamdi, Ahmed Saeed Alfakeeh, Ahmed PLoS One Research Article 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. Public Library of Science 2021-04-30 /pmc/articles/PMC8087081/ /pubmed/33930047 http://dx.doi.org/10.1371/journal.pone.0250737 Text en © 2021 Hannan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hannan, Abdul
Hussain, Faisal
Ali, Noman
Ehatisham-Ul-Haq, Muhammad
Ashraf, Muhammad Usman
Mohammad Alghamdi, Ahmed
Saeed Alfakeeh, Ahmed
A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title_full A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title_fullStr A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title_full_unstemmed A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title_short A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
title_sort decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087081/
https://www.ncbi.nlm.nih.gov/pubmed/33930047
http://dx.doi.org/10.1371/journal.pone.0250737
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