Securing Smart Cities Using Blockchain Technology
Open accessAbstract
A smart city uses information technology to integrate and manage physical, social, and business infrastructures in order to provide better services to its dwellers while ensuring efficient and optimal utilization of available resources. With the proliferation of technologies such as Internet of Things (IoT), cloud computing, and interconnected networks, smart cities can deliver innovative solutions and more direct interaction and collaboration between citizens and the local government. Despite a number of potential benefits, digital disruption poses many challenges related to information security and privacy. This paper proposes a security framework that integrates the blockchain technology with smart devices to provide a secure communication platform in a smart city.
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Privacy aspects are usually ignored by recent proposals regarding the integration of blockchain for smart cities.
“while privacy aspects need to be addressed, they are usually ignored by recent proposals, as demonstrated by recent works regarding the integration of blockchain for smart cities [161], [162].”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [161]
The Introduction says this blockchain-based smart-city framework is intended to enable communication without compromising privacy and security. The Communication Layer section also calls for integrating blockchain protocols to protect transmitted data. This paper therefore does not demonstrate that privacy is ignored, though it cannot establish how common that is among other proposals. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredBy observing public addresses used in the blockchain, another blockchain network node could link the address with a wallet and real user, despite the supposed anonymity of new randomly generated addresses.
“By observing the public addresses used in the blockchain, another blockchain network node could link the address with a wallet and real user, despite the supposed anonymity of new randomly generated addresses [71].”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [71]
The Blockchain Technology section says transaction histories are auditable and blocks are broadcast to network entities, but it does not discuss public addresses, wallets, or linking an address to a real user. Searches for randomly generated addresses and for identity tracing found no passage addressing the claimed deanonymization mechanism. Page numbers were unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredA framework integrates smart devices securely for providing smart city applications.
“In the case of [76] it is proposed a framework that integrates smart devices in a secure way for providing smart city applications.”
From A Review on the Use of Blockchain for the Internet of Things (2018) · cites this paper as [76]
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Research works printed but not linked: 6
- United Nations, World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352), Dept. of Economic and Social Affairs, ISBN: 978-92-1-151517-6, pp. 1-32, 2014.
- D. Makrushin and V. Dashchenko, Fooling the 'Smart City', Technical Report, Kaspersky Lab, pp. 1-22, Sep. 2016.
- W. R. Claycomb and A. Nicoll, Insider Threats to Cloud Computing: Directions for New Research Challenges, in 36th Annual Computer Soft. and Appl. Conf., pp. 387-394, 2012.
- HMGovernment, Government cloud strategy, pp. 1-24, 2011.
- K. Christidis and M. Devetsikiotis, Blockchains and Smart Contracts for the IoTs, IEEE Access, Special section on the plethora of Research in IoT, pp. 2292-2303, 2016.
- M. Selinger, Test: Fitness wristbands reveal data, Test AV- TEST GmbH, Klewitzstr, Germany, pp. 1-7, Jun. 2015.
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- Authors
- Biswas, K., & Muthukkumarasamy, V.
- Affiliations
- Griffith University (AU)
- Venue
- 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
- Publisher
- IEEE
- Published
- 2016-12
- Pages
- 1392-1393
- OpenAlex
- W2583031215
- Cited by
- 601
- References
- 0
- Citations by year
- 2026: 8 · 2025: 24 · 2024: 26 · 2023: 74 · 2022: 78 · 2021: 90 · 2020: 138 · 2019: 98 · 2018: 55 · 2017: 10
- FWCI
- 46.16
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (publishedVersion)
- Griffith Research Online (submittedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- Funders
- Griffith University
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- smart cities, blockchain, information security, privacy, Internet of Things, secure communication, security framework, smart devices, digital disruption
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