相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Efficient Privacy-Preserving Electricity Theft Detection With Dynamic Billing and Load Monitoring for AMI Networks
Mohamed I. Ibrahem et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Federated Edge Learning: Design Issues and Challenges
Afaf Tak et al.
IEEE NETWORK (2021)
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach
Yi Liu et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Vulnerability Assessment of 6G-Enabled Smart Grid Cyber-Physical Systems
Muhammad Tariq et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems
Beibei Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Federated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation
Muhammad Ismail et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Local Differential Privacy for Deep Learning
Pathum Chamikara Mahawaga Arachchige et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen et al.
IEEE INTELLIGENT SYSTEMS (2020)
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence
Meng Hao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Fast Big Data Analytics for Smart Meter Data
Morteza Mohajeri et al.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (2020)
The Challenges of Privacy and Access Control as Key Perspectives for the Future Electric Smart Grid
Anna Triantafyllou et al.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (2020)
Detecting false data attacks using machine learning techniques in smart grid: A survey
Lei Cui et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)
SAI: A Suspicion Assessment-Based Inspection Algorithm to Detect Malicious Users in Smart Grid
Xiaofang Xia et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)
What is Energy Internet? Concepts, Technologies, and Future Directions
Hafiz Majid Hussain et al.
IEEE ACCESS (2020)
A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid
Yining Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Federated Machine Learning: Concept and Applications
Qiang Yang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2019)
Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing
Rajiv Punmiya et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home
Weixian Li et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Energy Theft Detection With Energy Privacy Preservation in the Smart Grid
Donghuan Yao et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks
Mahmoud Nabil et al.
IEEE ACCESS (2019)
Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
Zibin Zheng et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Review of various modeling techniques for the detection of electricity theft in smart grid environment
Tanveer Ahmad et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
K-SVD WITH A REAL l0 OPTIMIZATION: APPLICATION TO IMAGE DENOISING
Yuan Liu et al.
2018 IEEE 28TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) (2018)
Lightweight Security and Privacy Preserving Scheme for Smart Grid Customer-Side Networks
Asmaa Abdallah et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
Damminda Alahakoon et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)
Energy-Theft Detection Issues for Advanced Metering Infrastructure in Smart Grid
Rong Jiang et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2014)
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson et al.
CCS'14: PROCEEDINGS OF THE 21ST ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2014)
A survey of methods for distributed machine learning
Diego Peteiro-Barral et al.
PROGRESS IN ARTIFICIAL INTELLIGENCE (2013)
Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft
Soma Shekara Sreenadh Reddy Depuru et al.
ENERGY POLICY (2011)
Security and Privacy Challenges in the Smart Grid
Patrick McDaniel et al.
IEEE SECURITY & PRIVACY (2009)
分享论文
