Yang, J., Gope, P. orcid.org/0000-0003-2786-0273, Cheng, Y. et al. (1 more author) (2021) Design, analysis and implementation of a smart next generation secure shipping infrastructure using autonomous robot. Computer Networks, 187. 107779. ISSN 1389-1286
Abstract
In general, price is the key element in shipping, and half of the costs are tied up in last-mile deliveries. The biggest expense here is the human element, so companies, which can cut down on staff costs, will be able to out-price their competitors. Therefore, we expect sooner, or later robotic delivery systems will become the norm. However, ensuring security in such a system will be a challenge. In this article, we propose a secure shipping infrastructure using robot. In this regard, we first design a cooperative user authentication system for delivering parcel using crypto primitives such as one-way hash function, asymmetric encryption and QR code. Next, we design a non-cooperative user identification scheme using Siamese Network for Person Reidentification, where the client is not ready to cooperate during the authentication process. Therefore, the robot carrier needs to automatically recognize and go towards the client to deliver the parcel in a secure way. Finally, we implement the proof-of-concept system through a cooperative user authentication process using TurtleBot3 robot platform and analyse the security of the proposed scheme using ProVerif. Analysis and experiment results show that our proposed system can complete the delivery mission and resist a variety of security attacks.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier B.V. This is an author produced version of a paper subsequently published in Computer Networks. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Cooperative user authentication system; Non-cooperative user authentication system; Person reidentification; QR code |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/R026092/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL nan ROYAL SOCIETY RGS\R2\202432 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2021 10:45 |
Last Modified: | 03 Jan 2022 01:38 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.comnet.2020.107779 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172499 |