Minimizing Energy Theft by Statistical Distance based Theft Detector in AMI

Sandeep Kumar Singh, Ranjan Bose, Anupam Joshi

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

6 Scopus citations

Abstract

To minimize energy theft attacks in Advanced Metering Infrastructure (AMI), we propose statistical distance based theft detection method. In the proposed method, different statistical distance indices (Jensen-Shannon distance, Hellinger distance, and Cumulative Distribution Function based distance) are computed using historical measurement variations between adjacent time steps. When adversary launches energy theft attacks in AMI, distance indices increases. A threshold is set to detect malicious measurement samples. We tested the performance of the proposed method under different attack scenario using real smart meter data. Test results show that the proposed method minimizes energy theft attacks efficiently.

Original languageEnglish
Title of host publication2018 24th National Conference on Communications, NCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538612248
DOIs
StatePublished - Jan 2 2019
Externally publishedYes
Event2018 24th National Conference on Communications, NCC 2018 - Hyderabad, India
Duration: Feb 25 2018Feb 28 2018

Publication series

Name2018 24th National Conference on Communications, NCC 2018

Conference

Conference2018 24th National Conference on Communications, NCC 2018
Country/TerritoryIndia
CityHyderabad
Period02/25/1802/28/18

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