Research and Design of Power Big Data Desensitization System Based on K-means++ Clustering Algorithm

With the continuous advancement of our country’s scientific and technological level, social and economic level and power gird information construction level keep improving, the risk of massive data leakage generated during the operation of power gird has become increasingly prominent. Once the information and data related to sensitive businesses are stolen or modified by criminals, it will cause immeasurable major economic losses and serious social impact. Therefore, in view of the leakage risk faced by the current grid current grid business data of power companies, data leakage prevention technology should be fully used in the grid information construction to effectively prevent the leakage of grid business data, so as to ensure the security of grid operation data. Based on the K-means++ clustering algorithm, this paper studies and designs a power big data desensitization system. The system has very highly reliable and accuracy, and can realize automatic desensitization of sensitive data, which plays an important role in further improving the security and stability of power grid information construction.