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. Attached Files Name Description MIMEType Size Downloads Title GridAttackSim: a cyber attack simulation framework for smart grids Author(s) Le, Tan Duy Anwar, Adnan orcid.org/0000-0003-3916-1381 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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Fri, 14 Aug 2020, 13:33:39 EST Sat, 15 Aug 2020, 05:00:29 EST Sat, 15 Aug 2020, 06:04:35 EST Mon, 17 Aug 2020, 12:15:53 EST Tue, 18 Aug 2020, 06:03:29 EST Wed, 02 Sep 2020, 11:51:21 EST Fri, 11 Sep 2020, 11:09:45 EST Fri, 11 Sep 2020, 11:11:09 EST Fri, 11 Sep 2020, 11:12:58 EST Sat, 19 Sep 2020, 02:32:09 EST Sat, 26 Sep 2020, 02:31:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 58 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Fri, 14 Aug 2020, 13:33:39 EST

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.