Power grid key data mining based on edge computing

In recent years, with the rapid development of smart grid, the situation of user privacy disclosure and communication channel congestion has also intensified. The integration of edge computing and smart grid makes full use of the storage and computing power of cloud computing, while absorbing the real-time and distributed characteristics of edge computing, which solves the problem of communication channel congestion to a certain extent. The edge computing architecture itself still has many security risks, and privacy disclosure is unavoidable. The main research content of this paper is how to realize privacy-preserving and efficient data transmission in smart grid in the edge computing environment with limited computing resources and insecurity. The proposed smart grid data aggregation scheme can effectively protect the privacy of users from being violated, and has low computational and communication overhead. At the same time, it is convenient for service providers to analyze the data and further improve the security and reliability of the smart grid.

Paper

Full text

PDF

Power grid key data mining based on edge computing

Semantic Scholar · Computer Science · 2022

Abstract

In recent years, with the rapid development of smart grid, the situation of user privacy disclosure and communication channel congestion has also intensified. The integration of edge computing and smart grid makes full use of the storage and computing power of cloud computing, while absorbing the real-time and distributed characteristics of edge computing, which solves the problem of communication channel congestion to a certain extent. The edge computing architecture itself still has many security risks, and privacy disclosure is unavoidable. The main research content of this paper is how to realize privacy-preserving and efficient data transmission in smart grid in the edge computing environment with limited computing resources and insecurity. The proposed smart grid data aggregation scheme can effectively protect the privacy of users from being violated, and has low computational and communication overhead. At the same time, it is convenient for service providers to analyze the data and further improve the security and reliability of the smart grid.

Similar papers

© 2026 NYSGPT2525 LLC