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Towards a Mathematical Model for Autonomously Organizing Security Metric Ontologies
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vert, G. Barrette, Bryce |
| Copyright Year | 2016 |
| Abstract | Security metrics can be contextually related to the operation of the system and provide a static measure of system security. Some are better at determining the system security. However, their values can change dynamically to threat. Thus they can be grouped into ontologies measuring system health and security under threat conditions. The problem with current approaches is that they are static and that it does not consider the fact that metrics can also occur in multiple ontological classes. In this paper we develop and propose a model and mathematical grounds for ontologies that can dynamically reorganize based on the mathematical properties of the model. We initially develop a set of metrics that can then be incorporated into the ontological model that can autonomously reorganize into super and superior ontologies when threat is present. We identify sample of metrics to demonstrate the model on and evaluate the relations among metrics to develop the model. This work presents the initial relational model for autonomous recombination after developing the initial set of metrics and mapping them to ontological classes. This work is initial and conceptual with further work to be done in the future to empirically validate the model. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://worldcomp-proceedings.com/proc/p2016/SAM9713.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
