基于可信身份检索的电力物联网数据隐私保护方法研究

Research on data privacy protection method for power Internet of Things based on trusted identity retrieval

随着数据量的激增和数据应用场景的多样化,如何确保这些数据在采集、传输、存储和处理过程中的安全性与隐私性,成为电力物联网领域亟待解决的关键问题。因此,该文提出基于可信身份检索的电力物联网数据隐私保护方法研究。通过基于可信身份检索技术生成加密数据库,进而对电力物联网数据进行预处理,利用该数据构建数据隐私加密模型,最终实现电力物联网数据的隐私性保护。实验结果表明:基于可信身份检索的电力物联网数据隐私保护方法能够有效对电力物联网数据进行隐私保护并最大程度上对其进行存储,存储数据量远超其他常用方法,均高于3 000条。且数据泄露率均低于20%。因此,该方法被证明在实际应用中具有良好的隐私保护效果。

With the rapid increase in data volume and the diversification of data application scenarios,ensuring the security and privacy of these data during collection,transmission,storage,and processing has become a key issue that urgently needs to be addressed in the field of power Internet of Things.Therefore,a research on data privacy protection method for power Internet of Things based on trusted identity retrieval is proposed.By generating encrypted databases based on trusted identity retrieval technology,preprocessing of power IoT data is carried out,and a data privacy encryption model is constructed using this data to ultimately achieve privacy protection of power IoT data.The experimental results show that the data privacy protection method for power Internet of Things based on trusted identity retrieval can effectively protect the privacy of power Internet of Things data and store it to the maximum extent possible,with a storage capacity far exceeding other commonly used methods,all exceeding 3000 pieces.And the data leakage rate is all below 20%.Therefore,it can be proven that this method has good privacy protection effect in practical applications.