Hardware Demonstration of a Coding-Based Attack Detection/Correction Metering System

Abdullah L. Shah*, Wessam Mesbah, Ali T. Al-Awami

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Power losses in the power grid are categorized into technical and non-technical losses (NTL). NTL include attacking the metering unit, attacking the data of the metering system, or meter malfunctions. A report published in 2017 by a smart infrastructure market intelligence firm estimates the global annual losses due to NTL to be 96 billion US dollars. To reduce the NTL in the distribution systems, deploying a robust NTL detection/correction technique is essential. This work provides a hardware demonstration for a novel coding-based metering system that has been proposed in an earlier work for attack detection and correction. It is worth mentioning that a hardware demonstration/verification for the coding-based metering system has not been reported yet in the literature. The coding-based metering system is based on the Hamming code, which was originally used to detect and correct errors in binary data transmission. It can efficiently detect/correct an attack on smart meters using only very few additional meters. The laboratory testing showed the robustness and effectiveness of the coding-based system.

Original languageEnglish
Title of host publication2022 Saudi Arabia Smart Grid Conference, SASG 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665475891
DOIs
StatePublished - 2022
Event2022 Saudi Arabia Smart Grid Conference, SASG 2022 - Jeddah, Saudi Arabia
Duration: 12 Dec 202214 Dec 2022

Publication series

Name2022 Saudi Arabia Smart Grid Conference, SASG 2022

Conference

Conference2022 Saudi Arabia Smart Grid Conference, SASG 2022
Country/TerritorySaudi Arabia
CityJeddah
Period12/12/2214/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • attack detection
  • data acquisition
  • fraud detection
  • hamming code
  • non-technical losses (NTL)
  • smart metering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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