<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Hadarics et. al. gave a Mathematical Model for Distributed Vulnerability Assessment. In this model the extent of vulnerability of a specific company IT infrastructure is measured by the probability of at least one successful malware attack when the users behaviour is also incorporated into the model. The different attacks are taken as independent random experiments and the probability is calculated accordingly. The model uses some input probabilities related to the characteristics of the different threats, protections and user behaviours which are estimated by the corresponding relative frequencies. In this paper this model is further detailed, improved and a numerical example is also presented.</p></abstract>

Hadarics et. al. gave a Mathematical Model for Distributed Vulnerability Assessment. In this model the extent of vulnerability of a specific company IT infrastructure is measured by the probability of at least one successful malware attack when the users behaviour is also incorporated into the model. The different attacks are taken as independent random experiments and the probability is calculated accordingly. The model uses some input probabilities related to the characteristics of the different threats, protections and user behaviours which are estimated by the corresponding relative frequencies. In this paper this model is further detailed, improved and a numerical example is also presented.

An improvement for a mathematical model for distributed vulnerability assessment

Acta Universitatis Sapientiae, Mathematica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"An improvement for a mathematical model for distributed vulnerability assessment"}

Hadarics et. al. gave a Mathematical Model for Distributed Vulnerability Assessment. In this model the extent of vulnerability of a specific company IT...

An improvement for a mathematical model for distributed vulnerability assessment

Published Online: Mar 04, 2019

Page range: 203 - 217

Received: Jan 07, 2018

DOI: https://doi.org/10.2478/ausm-2018-0017

Keywords
vulnerability, probability, relative frequency

© 2018 László Bognár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

An improvement for a mathematical model for distributed vulnerability assessment

Published Online: Mar 04, 2019

Page range: 203 - 217

Received: Jan 07, 2018

DOI: https://doi.org/10.2478/ausm-2018-0017

Keywordsvulnerability, probability, relative frequency

© 2018 László Bognár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
vulnerability, probability, relative frequency