AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

作     者：Congcong Wang Chen Wang Wenying Zheng Wei Gu 

作者机构：School of SoftwareNanjing University of Information Science and TechnologyNanjing210044China School of Information Science and EngineeringZhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big DataGuizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence)Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering)Nanjing University of Information Science and TechnologyNanjing210044China 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2025年第82卷第1期

页      面：799-816页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key R&D Program of China(No.2023YFB2703700) the National Natural Science Foundation of China(Nos.U21A20465,62302457,62402444,62172292) the Fundamental Research Funds of Zhejiang Sci-Tech University(Nos.23222092-Y,22222266-Y) the Program for Leading Innovative Research Team of Zhejiang Province(No.2023R01001) the Zhejiang Provincial Natural Science Foundation of China(Nos.LQ24F020008,LQ24F020012) the Foundation of State Key Laboratory of Public Big Data(No.417) the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2023C01119) 

主　　题：Smart grid data security privacy protection artificial intelligence data aggregation 

摘      要：As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.