Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure-Reference-Cited by-同舟云学术

Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure

Published:2022-12-15 Issue:24 Volume:9 Page:25565-25580
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ibrahem Mohamed I.¹^ORCID,Mahmoud Mohamed M. E. A.²^ORCID,Alsolami Fawaz³^ORCID,Alasmary Waleed⁴^ORCID,AL-Ghamdi Abdullah Saad AL-Malaise⁵,Shen Xuemin⁶^ORCID

Affiliation:

1. Department of Cyber Security Engineering, George Mason University, Fairfax, VA, USA

2. Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA

3. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

4. Communication and Information Technology Commission, Riyad, Saudi Arabia

5. Information System Department, King Abdulaziz University, Jeddah, Saudi Arabia

6. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

Funder

Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9973413/09861263.pdf?arnumber=9861263

Reference43 articles.

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3. Electricity Theft Detection in Power Grids with Deep Learning and Random Forests

4. A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns

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