Research on Business Consistency Verification Techniques for Energy Big Data Privacy Protection

In this paper, we study the consistency verification technology for multi-party collaborative privacy-preserving operations of energy big data, and propose a consistency assessment algorithm based on minimum hash signatures for the privacy and consistency challenges in energy big data processing. The algorithm realizes the assessment of the consistency of the target dataset through data compression and signature design of the data source, avoids direct access to the original data, and guarantees data privacy and consistency of processing results. The experimental results show that the algorithm is able to effectively assess data consistency on energy big datasets such as electricity and gas consumption, and the results are close to the exact algorithm with high credibility and efficiency.