The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Cyber security in smart cities: A review of deep learning-based applications and case studies
Abstract
Abstract On the one hand, smart cities have brought about various changes, aiming to revolutionize people's lives. On the other hand, while smart cities bring better life experiences and great convenience to people's lives, there are more hidden dangers of cyber security, including information leakage and malicious cyber attacks. The current cyber security development cannot keep up with the eager adoption of global smart city technologies so correct design based on deep learning methods is essential to protect smart city cyber. This paper summarizes the knowledge and interpretation of Smart Cities (SC), Cyber Security (CS), and Deep Learning (DL) concepts as well as discussed existing related work on IoT security in smart cities. Specifically, we briefly reviewed several deep learning models, including Boltzmann machines, restricted Boltzmann machines, deep belief networks, recurrent neural networks, convolutional neural networks, and generative adversarial networks. Then we introduced cyber security applications and use cases based on deep learning technology in smart cities. Finally, we describe the future development trend of smart city cyber security.
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Cited by
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00815-1 · Cited by 2,678
Smart city and cyber-security; technologies used, leading challenges and future recommendations
Ma, C. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.08.124 · Cited by 183
A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Cheng, R., Hou, L., & Xu, S. (2023) · Buildings · doi:10.3390/buildings13051143 · Cited by 94
Kamruzzaman, M. M., Alrashdi, I., & Alqazzaz, A. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/2950699 · Cited by 68
Retracted
Metadata
- Authors
- Chen, D., Wawrzynski, P., & Lv, Z.
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 66
- Pages
- 102655
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W3113223415
- Cited by
- 282
- References
- 100
- FWCI
- 20.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, D., Wawrzynski, P., & Lv, Z. (2021). Cyber security in smart cities: A review of deep learning-based applications and case studies. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2020.102655
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
