Study On User Privacy Protection Scheme Of Smart Meter Based On Distributed Differential Privacy

Relying on the rapid development of computer technology and communication technology,smart grid provides users with efficient,safe,reliable and clean energy supply,solves the problem of imbalance between supply and demand in traditional power systems,and encourages users to participate more actively in the operation and management of the grid system.However,as the openness of the power system continues to increase,the network boundary continues to extend to the user side,and the massive smart meter data generated on the demand side will inevitably face more severe privacy security challenges.The unscrupulous attacker can analyze the smart meter data to know the user's power behavior pattern and other information and further analyze the user's life schedule,basic family information,personal behavior preferences,etc.,which seriously threatens the user's privacy.How to improve the privacy of smart meter data while ensuring the availability of smart meter data has become a problem that governments and academic circles attach great importance to.Differential privacy can take balance the security and availability of data.As a powerful means of data privacy protection,it is widely used in data privacy protection in the era of big data.However,the traditional centralized differential privacy relies on the security of trusted third-party data centers,and the protection of the power usage patterns in smart meter data is not enough.Based on the research of data privacy protection of smart meter,this paper proposes a distributed smart meter differential privacy protection scheme.And combined with the temporal random scrambling data release method to protect the user's behavior pattern to meet the user privacy security requirements in the context of privacy mining.The contributions of this article can be summarized as follows:Firstly,the smart grid system and the smart meter user privacy leakage problems existing in it are analyzed.Based on the typical application scenarios of smart meter big data,the special requirements of data privacy protection are analyzed.At the same time,it analyzes the advantages and disadvantages of different data privacy schemes in the field of smart meter privacy protection,and establishes the design goal of smart meter data privacy protection scheme.In addition,the application of differential privacy protection model in the privacy protection of smart meter data is studied.This paper proposes a novel distributed differential privacy protection mechanism that is directly involved in the data terminal by the smart meter,which solves the problem that traditional differential privacy causes serious decline in dataavailability due to excessive noise during smart meter data aggregation,and gets rid of dependence on trusted third parties.The process of data release is randomly scrambled,destroying the load characteristic information in the original data,hiding the user's power usage pattern,and improving the security of the smart meter data in the privacy mining process.Finally,use the real power consumption data to analyze the effectiveness of the privacy protection scheme,quantitatively evaluate the strength of differential privacy protection,and analyze the data availability under different privacy protection intensity settings.The pattern recognition result of non-intrusive load monitoring(NILM)is analyzed to visually show the data security of the privacy protection scheme in the face of privacy mining attacks.The research results show that the proposed distributed differential privacy protection scheme can achieve the balance between data security and availability in the process of data privacy protection of smart meter,and effectively protect the privacy of users in the context of big data era.