| Title | Big Data Analysis and Mining Technology of Smart Grid Based on Privacy Protection |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wang, Mei |
| Conference Name | 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) |
| Keywords | Big Data, Companies, data mining, data privacy, Information security, Meters, Metrics, privacy, privacy protection, Protocols, pubcrawl, Resiliency, Smart grid, Smart Grid Privacy |
| Abstract | Aiming at the big data security and privacy protection issues in the smart grid, the current key technologies for big data security and privacy protection in smart grids are sorted out, and a privacy-protecting smart grid association rule is proposed according to the privacy-protecting smart grid big data analysis and mining technology route The mining plan specifically analyzes the risk factors in the operation of the new power grid, and discusses the information security of power grid users from the perspective of the user, focusing on the protection of privacy and security, using safe multi-party calculation of the support and confidence of the association rules. Privacy-protecting smart grid big data mining enables power companies to improve service quality to 7.5% without divulging customer private information. |
| DOI | 10.1109/ICCMC53470.2022.9753721 |
| Citation Key | wang_big_2022 |
Big Data Analysis and Mining Technology of Smart Grid Based on Privacy Protection