Smart Grid Data Aggregation Scheme For Privacy Protection In Edge Computing Environment

Smart power grid is a highly integrated power system integrating advanced information communication technology,sensor technology and automatic control technology,which is gradually replacing the traditional power grid.In the smart grid,power resource allocation and user consumption data can be exchanged between power companies and users.This two-way mechanism enables the smart grid to collect and analyze the power consumption of power generation and transmission in real time,which not only ensures the reasonable distribution of power resources,but also ensures that the backbone grid can respond to potential security threats and emergencies in time.However,the direct delivery of electricity data to the Service Center(SC)would cause it to process a large amount of fine-grained usage data in a short period of time,resulting in severe stress on the communication channel.In addition,data reported through smart meters would expose consumers’ real-time usage,thereby compromising their privacy.In order to protect users’ privacy from malicious attacks and reduce the pressure on SC,this paper introduces edge computing paradigm into smart grid.Edge computing extends the computing power of traditional cloud computing paradigm to the edge of network,which has the characteristics of low latency,location awareness and distribution.However,how to further improve the security of user data and the efficiency of data transmission in smart grid is still the focus of current research.This paper mainly does the following two aspects of work:1.A privacy-oriented multi-dimensional data aggregation scheme for smart grid in edge computing environment is studied.First of all,Firstly,a smart grid data aggregation scheme based on edge computing architecture is proposed in this paper.This paper utilizes the low delay characteristics of edge nodes to achieve efficient communication and enable the control center to dynamically adjust power genera-tion and distribution strategies.At the same time,Smart meters can report multiple types of data in a single reporting cycle,allowing SC to provide more personalized services to users.Secondly,this paper uses an identity-based aggregated signature scheme to ensure that users’ data will not be tampered with maliciously by intruders.At the same time,it uses the Paillier homomorphic cryptography technique to protect users’ privacy from invasion.The experimental results show that the proposed signature scheme is more efficient,and the compression and batch processing characteristics of the aggregate signature are more suitable for the edge network environment.Thirdly,we propose a method of using redundancy technology to backup key data to edge nodes in advance to support disaster backup,which can further improve the reliability and safety of the smart grid scheme in this paper in the face of disasters.2.A lightweight smart grid data aggregation scheme based on edge computing architecture is studied.Firstly the scheme emphasizes that the encryption is lightweight,so the encryption scheme used is Elliptic Curve El-Gamal(ECEG)algorithm.Because it eliminates labor-consuming pairing operations,the scheme is effective in both computing and communication.Secondly,this paper adopts the Elliptic Curve Digital Signature Algorithm(ECDSA)and batch verification technology,which allows intermediate nodes to effectively verify data integrity and the legitimate identity of the sender,Thus,the efficiency of the verification step is accelerated.Finally,the security analysis and performance evaluation show that,compared with the existing converged communication schemes in smart grid,the proposed scheme greatly reduces the computing cost and communication overhead on the premise of ensuring data security,and realizes the lightweight encrypted communication in smart grid.