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| 电力客户数据隐私保护机制研究 |
| Research on Data Privacy Protection Mechanism for Electric Power Customers |
| 投稿时间：2019-05-21 修订日期：2019-08-19 |
| DOI： |
| 中文关键词: 电力客户数据 隐私安全 隐私分级 保护策略 主动隐私保护 |
| 英文关键词: electric power customer data privacy security privacy classification protection strategy active privacy protection |
| 基金项目: |
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| 中文摘要: |
| 随着互联网和大数据时代的到来，数据的价值越来越显著，在各个领域发挥的作用越来越重要，也催生了新的研究领域-数据隐私安全。电网公司采集存储了海量电力客户数据，如何在使用过程中保障客户数据隐私安全，变得尤为迫切。本文通过解析电力客户数据特征和应用场景，提出涵盖业务场景分类、隐私分级、保护策略与保护方法库在内的电力客户数据隐私保护体系建设方案，构建面向电力客户数据的主动隐私保护机制，实现对电力客户数据隐私保护策略和技术方法的主动推荐。实际案例展示了本文建立的电力客户数据隐私保护系统具有良好的实用性。 |
| 英文摘要: |
| With the advent of the Internet and the era of big data, the value of data is becoming more and more significant, playing a more and more important role in various fields, and also giving birth to a new research field - data privacy security. Power Grid Companies collect and store a large amount of power customer data, how to protect the privacy and security of customer data in the use process has become particularly urgent. By analyzing the characteristics and application scenarios of power customer data, this paper proposes a scheme of data privacy protection system for power customer, which includes business scenario classification, privacy classification, protection strategy and protection method library. It also builds an active privacy protection mechanism for power customer data, and realizes the active recommendation of data privacy protection strategies and technology methods for power customer. The practical case shows that the data privacy protection system for power customers established in this paper has good practicability. |
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