Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/128796
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| Type: | Journal article |
| Title: | Game theoretical modelling of network/cybersecurity |
| Author: | Iqbal, A. Gunn, L.J. Guo, M. Babar, M.A. Abbott, D. |
| Citation: | IEEE Access, 2019; 7:154167-154179 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Issue Date: | 2019 |
| ISSN: | 2169-3536 2169-3536 |
| Statement of Responsibility: | Azhar Iqbal, Lachlan J. Gunn, Mingyu Guo, M. Ali Babar, and Derek Abbott |
| Abstract: | Game theory is an established branch of mathematics that offers a rich set of mathematical tools for multi-person strategic decision making that can be used to model the interactions of decision makers in security problems who compete for limited and shared resources. This article presents a review of the literature in the area of game theoretical modelling of network/cybersecurity and identifies a number of challenges in this area that need to be addressed. |
| Keywords: | Cyberspace; mathematical model; optimization methods; cybersecurity; game theory; network security |
| Rights: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ |
| DOI: | 10.1109/ACCESS.2019.2948356 |
| Published version: | https://ieeexplore.ieee.org/document/8876836/references#references |
| Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
Files in This Item:
| File | Description | Size | Format | |
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| hdl_128796.pdf | Published version | 7.2 MB | Adobe PDF | View/Open |
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