Journal article
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology
H Yu, Z Yang, RO Sinnott
IEEE Access | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2019
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 TP..
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Awarded by National Natural Science Foundation of China
Funding Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grant 61671030, in part by the National Key R&D Program of China under Grant 2016YFB0801100 and Grant 2018YFB0803600, and in part by the Industrial Internet Innovation Development Project.