Design a fast Non-Technical Loss fraud detector for smart grid

Author:

Han Wenlin1,Xiao Yang21

Affiliation:

1. Department of Computer Science the University of Alabama; Tuscaloosa 35487-0290 AL U.S.A

2. School of Computer and Software; Nanjing University of Information Science and Technology; Nanjing 210044 China

Funder

National Natural Science Foundation of China

National Science Foundation (NSF) (USA)

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference39 articles.

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3. Cyber security and privacy issues in smart grids;Liu;IEEE Communications Surveys & Tutorials,2012

4. Han W Xiong W Xiao Y Ellabidy M Vasilakos AV Xiong N A class of non-statistical traffic anomaly detection in complex network systems Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCSW'12) 2012 640 646

5. A solution to remote detection of illegal electricity usage via power line communications;Cavdarl;IEEE Transactions on Power Delivery,2004

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1. ETD-ConvLSTM: A Deep Learning Approach for Electricity Theft Detection in Smart Grids;IEEE Transactions on Information Forensics and Security;2023

2. Detection Methods in Smart Meters for Electricity Thefts: A Survey;Proceedings of the IEEE;2022-02

3. GTHI: A Heuristic Algorithm to Detect Malicious Users in Smart Grids;IEEE Transactions on Network Science and Engineering;2020-04-01

4. SAI: A Suspicion Assessment-Based Inspection Algorithm to Detect Malicious Users in Smart Grid;IEEE Transactions on Information Forensics and Security;2020

5. Edge computing enabled non-technical loss fraud detection for big data security analytic in Smart Grid;Journal of Ambient Intelligence and Humanized Computing;2019-07-06

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