基于相似性匹配的电网边缘终端数据隐私保护方法

A Similarity Matching Based Data Privacy-Protection Scheme for Edge Terminal in Smart Grid

针对智能电网终端用电用户敏感信息的保护问题,为了对抗关于用户敏感信息的隐私推理攻击,本文提出了基于相似性匹配的智能电网边缘终端数据隐私保护方法。本文首先基于时序数据预测模型,证明了用户的敏感信息可以被推理出来。为了对抗隐私推理,采用FastDTW算法鉴别与敏感信息相关的时序数据,通过对相关数据进行模式扰动、降低推理准确率,从而达到隐私保护的目的。实验结果表明:本文提出的隐私保护方法使攻击者不能准确获得用户的实际用电量,从而可有效保护用户的敏感用电信息。

Aiming at the protection of user sensitive information in smart grid terminals,and to counter the privacy inference attack on user sensitive information,this paper proposes an efficient similarity matching based data privacy-protection scheme for edge terminals in smart grid.First of all,this paper proves that the user s sensitive information can be inferred based on the time series data prediction model.In order to resist the privacy inference,the FastDTW algorithm is used to identify the time series data related to sensitive information,and to achieve the purpose of privacy protection by disturbing the relevant data and reducing the inference accuracy.The experiment results show that the privacy protection method proposed in this paper can make the attacker unable to accurately obtain the actual power consumption of the user,thus effectively protect the user s power consumption information.