Paper Info
Title
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology.
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.
Year
DOI
Venue
2019
10.1109/ACCESS.2018.2888940
IEEE ACCESS
Keywords
Field
DocType
Big data,smart city,data auditing,blockchain
Audit,Data analysis,Computer science,Computer security,Third party,Smart city,Blockchain,Big data,Wireless sensor network,Cloud computing,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
3
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Haiyang Yu152.76
Zhen Yang2136.68
Richard O. Sinnott331750.09