A simulation framework for smart meter security evaluation

Chinnow, Joel, Bsufka, Karsten, Schmidt, Aubrey-Derrick, Bye, Rainer, Camtepe, Seyit A., & Albayrak, Sahin (2011) A simulation framework for smart meter security evaluation. In Proceedings of the IEEE International Conference on Smart Measurements for Future Grids (SMFG 2011), IEEE Conference Publications, Bologna, Italy, pp. 1-9.

View at publisher

Abstract

The evolution of classic power grids to smart grids creates chances for most participants in the energy sector. Customers can save money by reducing energy consumption, energy providers can better predict energy demand and environment benefits since lower energy consumption implies lower energy production including a decrease of emissions from plants. But information and communication systems supporting smart grids can also be subject to classical or new network attacks. Attacks can result in serious damage such as harming privacy of customers, creating economical loss and even disturb the power supply/demand balance of large regions and countries. In this paper, we give an overview about the German smart measuring architecture, protocols and security. Afterwards, we present a simulation framework which enables researchers to analyze security aspects of smart measuring scenarios.

Impact and interest:

10 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 58299
Item Type: Conference Paper
Refereed: Yes
Keywords: power system measurement, power system security, network attacks, simulation framework, smart meter security evaluation
DOI: 10.1109/SMFG.2011.6125758
ISBN: 9781457713132
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 IEEE
Deposited On: 14 Mar 2013 23:36
Last Modified: 12 Jun 2013 15:37

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page