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GridAttackSim: a cyber attack simulation framework for smart grids

Le, Tan Duy, Anwar, Adnan, Loke, Seng W, Beuran, Razvan and Tan, Yasuo 2020, GridAttackSim: a cyber attack simulation framework for smart grids, Electronics, vol. 9, no. 8, pp. 1-21, doi: 10.3390/electronics9081218.

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Title GridAttackSim: a cyber attack simulation framework for smart grids
Author(s) Le, Tan Duy
Anwar, AdnanORCID iD for Anwar, Adnan orcid.org/0000-0003-3916-1381
Loke, Seng WORCID iD for Loke, Seng W orcid.org/0000-0001-9568-5230
Beuran, Razvan
Tan, Yasuo
Journal name Electronics
Volume number 9
Issue number 8
Article ID 1218
Start page 1
End page 21
Total pages 21
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2020-08
ISSN 2079-9292
Summary The smart grid system is one of the key infrastructures required to sustain our future society. It is a complex system that comprises two independent parts: power grids and communication networks. There have been several cyber attacks on smart grid systems in recent years that have caused significant consequences. Therefore, cybersecurity training specific to the smart grid system is essential in order to handle these security issues adequately. Unfortunately, concepts related to automation, ICT, smart grids, and other physical sectors are typically not covered by conventional training and education methods. These cybersecurity experiences can be achieved by conducting training using a smart grid co-simulation, which is the integration of at least two simulation models. However, there has been little effort to research attack simulation tools for smart grids. In this research, we first review the existing research in the field, and then propose a smart grid attack co-simulation framework called GridAttackSim based on the combination of GridLAB-D, ns-3, and FNCS. The proposed architecture allows us to simulate smart grid infrastructure features with various cybersecurity attacks and then visualize their consequences automatically. Furthermore, the simulator not only features a set of built-in attack profiles but also enables scientists and electric utilities interested in improving smart grid security to design new ones. Case studies were conducted to validate the key functionalities of the proposed framework. The simulation results are supported by relevant works in the field, and the system can potentially be deployed for cybersecurity training and research.
Language eng
DOI 10.3390/electronics9081218
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30140832

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.