Zhang, J., Wang, Y. orcid.org/0000-0003-1575-0245, Li, S. et al. (1 more author) (2021) An architecture for IoT-enabled smart transportation security system: a geospatial approach. IEEE Internet of Things Journal, 8 (8). pp. 6205-6213. ISSN 2327-4662
Abstract
Internet of things (IoT) in urban transportation systems have been ubiquitously embedded into a variety of devices and transport entities. The IoT-enabled smart transportation system (STS) has thus gained growing tractions amongst scholars and practitioners. However, several IoT challenges in relation to cyber-physical security are exposed due to the heterogeneity, complexity and decentralization of the IoT network. There also exist geospatial security concerns with respect to the embeddings of 5G networks into public infrastructures that are interconnected with the transport system via IoT. To address these concerns, this paper aims to apply geospatial modelling approach to propose a Smart Transportation Security Systems (STSS). It is modelled and simulated by undertaking an experimental study in the city of Beijing, China. The simulation outcome of the proposed architecture is expected to offer a strategic guide for strategic security management of urban smart transportation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | 5G; cyber-physical system; geospatial analysis; infrastructural designs; Internet of Things (IoT); security control; smart transportation systems (STS); standardization |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jan 2021 12:29 |
Last Modified: | 02 Feb 2022 07:29 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/jiot.2020.3041386 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169840 |