Conference paper Open Access
Bergers, Jeroen;
Shi, Zeshun;
Korsmit, Ken;
Zhiming Zhao
Data manipulation is often considered a serious
problem in industrial applications as data tampering can lead
to inaccurate financial reporting or even a corporate security
crisis. A correct representation of company data is essential
for the companies’ core business processes and is requested
by governments and investors. However, the current solution,
third-party auditing, is expensive and cannot be fully trusted.
In this paper, we present the Data Warehouse Decentralized
Integrity Model (DWH-DIM) to validate the integrity of the
data warehouse and replace the current process. To address
the challenge that the existing distributed integrity verification
models cannot handle GDPR and are limited by scalability,
our model uses a distributed file system to store attributes that
can be used for the integrity verification task. The blockchain
further confirms the authenticity of the files. Based on the
proposed model, we present a detailed implementation of the
DWH-DIM tool. The implementation is tested with a use case
and several benchmarks. Experimental results demonstrate that
our proposed model is feasible and meets the requirement for
certificate warehouse data.
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