The Research on Cloud Platform Considered Privacy Household Load Data Processing

Abstract:

To solve the problems such as randomness user behavior, effective privacy protection and massive data processing shortage, this paper has proposed a household load data processing method with privacy protection, combined data mining and cloud computing. First, it gave the platform architecture and individual protection model. Then, it proposed Mask-k_means database encryption method, algorithm parallelization was implemented by MapReduce. Finally, this paper varied the method was and implemented household load data processing based on statistics and real-measured data respectively. One conclusion is that feasibility of cluster analysis for multi-user was low, while single-user load analysis is high. The other is that this method is simple and practical. This can provide a new way to household load big data under smart electricity consuming.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 1929-1933
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1929
• Online since: October 2014
• Authors: Qi Chen, Yu Ming Ma
• Keywords: Cloud Computing, Household Electricity, MapReduce, Privacy Protection

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