Security and privacy of smart cities: a survey, research issues and challenges
Abstract
With recent advances of information and communication technology, smart city has been emerged as a new paradigm to dynamically optimize the resources in cities and provide better facilities and quality of life for the citizens. Smart cities involve a variety of components, including ubiquitous sensing devices, heterogeneous networks, large-scale databases, and powerful data centers to collect, transfer, store, and intelligently process real-time information. Smart cities can offer new applications and services for augmenting the daily life of citizens on making decisions, energy consumption, transportation, health-care, and education. Despite the potential vision of smart cities, security and privacy issues remain to be carefully addressed. This paper delineates a comprehensive survey of security and privacy issues of smart cities, and presents a basis for categorizing the present and future developments within this area. It also presents a thematic taxonomy of security and privacy issues of smart cities to highlight the security requirements for designing a secure smart city, identify the existing security and privacy solutions, and present open research issues and challenges of security and privacy in smart cities.
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Thanks to the distinctive nature of IoT devices, the design of smart cities infrastructure remains challenges, including ensuring anonymity, completeness, and bottleneck issues.
“Thanks to the distinctive nature of IoT devices, the design of smart cities infrastructure remains challenges, including ensuring anonymity, completeness, and bottleneck issues [216].”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [216]
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Security and Privacy Challenge in Data Aggregation for the IoT in Smart Cities
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Differential Privacy Techniques for Cyber Physical Systems: A Survey
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564 · see citing works
A survey on the adoption of blockchain in IoT: challenges and solutions
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Bhushan, B., Khamparia, A., Sagayam, K. M., Sharma, S. K., Ahad, M. A., & Debnath, N. C. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102360 · Cited by 353 · see citing works
- Authors
- Sookhak, M., Tang, H., He, Y., & Yu, F. R.
- Affiliations
- Arizona State University (US)
- Defence Research and Development Canada (CA)
- Carleton University (CA)
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2019
- Volume
- 21
- Issue
- 2
- Pages
- 1718-1743
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2889057033
- Cited by
- 212
- References
- 124
- Citations by year
- 2026: 12 · 2025: 29 · 2024: 31 · 2023: 40 · 2022: 34 · 2021: 33 · 2020: 23 · 2019: 10
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Defence Research and Development Canada
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Technology and Security Systems
- Keywords
- smart cities, smart city security, privacy, ubiquitous sensing, heterogeneous networks, large databases, data centers, security requirements, privacy solutions, research challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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