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DEVS-based Modeling Methodology for Cybersecurity Simulations from a Security Perspective.
- Source :
- KSII Transactions on Internet & Information Systems; May2020, Vol. 14 Issue 5, p2186-2203, 18p, 13 Diagrams, 3 Charts, 2 Graphs
- Publication Year :
- 2020
-
Abstract
- Security administrators of companies and organizations need to come up with proper countermeasures against cyber-attacks considering infrastructures and security policies in their possession. In order to develop and verify such countermeasures, the administrators should be able to reenact both cyber-attacks and defenses. Simulations can be useful for the reenactment by overcoming its limitations including high risk and cost. If the administrators are able to design various scenarios of cyber-attacks and to develop simulation models from their viewpoints, they can simulate desired situations and observe the results more easily. It is challenging to simulate cyber-security issues, because there is lack of theoretical basis for modeling a wide range of the security field as well as pre-defined basic components used to model cyber-attacks. In this paper, we propose a modeling method for cyber-security simulations by developing a basic component and a composite model, called Abstracted Cyber-Security Unit Model (ACSUM) and Abstracted Cyber-security SIMulation model (ACSIM), respectively. The proposed models are based on DEVS(Discrete Event systems Specification) formalism, a modeling theory for discrete event simulations. We develop attack scenarios by sequencing attack behaviors using ACSUMs and then model ACSIMs by combining and abstracting the ACSUMs from a security perspective. The concepts of ACSUM and ACSIM enable the security administrators to simulate numerous cyber-security issues from their viewpoints. As a case study, we model a worm scenario using ACSUM and simulate three types of simulation models based on ACSIM from a different security perspective. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19767277
- Volume :
- 14
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- KSII Transactions on Internet & Information Systems
- Publication Type :
- Academic Journal
- Accession number :
- 143668945
- Full Text :
- https://doi.org/10.3837/tiis.2020.05.018