Cited by 130Blockchain Technology Applications and SecurityCloud Data Security SolutionsCryptography and Data Security

Decentralized big data auditing for smart city environments leveraging blockchain technology

Open access
Yu, Haiyang, Yang, Zhen, Sinnott, Richard O.·2019·IEEE Access

Abstract

The idea of big data has gained extensive attention from governments and academia all over the world. It is especially relevant for the establishment of a smart city environment combining complex heterogeneous data with data analytics and artificial intelligence (AI) technology. Big data is generated from many facilities and sensor networks in smart cities and often streamed and stored in the cloud storage platform. Ensuring the integrity and subsequent auditability of such big data is essential for the performance of AI-driven data analysis. Recent years has witnessed the emergence of many big data auditing schemes that are often characterized by third party auditors (TPAs). However, the TPA is a centralized entity, which is vulnerable to many security threats from both inside and outside the cloud. To avoid this centralized dependency, we propose a decentralized big data auditing scheme for smart city environments featuring blockchain capabilities supporting improved reliability and stability without the need for a centralized TPA in auditing schemes. To support this, we have designed an optimized blockchain instantiation and conducted a comprehensive comparison between the existing schemes and the proposed scheme through both theoretical analysis and experimental evaluation. The comparison shows that lower communication and computation costs are incurred with our scheme than with existing schemes.

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Crossref · 10.1109/access.2018.2888940

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  • The collaborative framework for smart cities in Ref. [106] has not had implementation of smart contract and security assessment done.

    “However, the implementation of smart contract and security assessment has not been done.”
  • If all transaction data are stored on chain, blockchain capacity will become very large to maintain over time.

    “Moreover, if all transaction data are stored on chain, the blockchain capacity will become very large to maintain on the chain over time [289].”

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1 of the 28 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. A. Juels and B. S. Kaliski, Jr., ''Pors: Proofs of retrievability for large files,'' in Proc. 14th Conf. Comput. Commun. Secur., 2007, pp. 584-597.
  2. Y. Yuan and F.-Y. Wang, ''Blockchain: The state of the art and future trends,'' Acta Automat. Sinica, vol. 42, no. 4, pp. 481-494, 2016.

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Authors
Yu, H., Yang, Z., & Sinnott, R. O.
Affiliations
  • The University of Melbourne (AU)
  • Beijing University of Technology (CN)
Venue
IEEE Access
Published
2019
Volume
7
Pages
6288-6296
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2905871206
Cited by
130
References
28
Citations by year
2026: 4 · 2025: 10 · 2024: 16 · 2023: 25 · 2022: 28 · 2021: 21 · 2020: 21 · 2019: 5
FWCI
18.95
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (61671030)
  • National Key R&D Program of China (2016YFB0801100, 2018YFB0803600)
  • Industrial Internet Innovation Development Project
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
Keywords
big data auditing, smart cities, blockchain, decentralized auditing, third-party auditor, data integrity, cloud data security, sensor networks, communication and computation cost

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