Abstract

In recent years, one obstacle to information security risk analysis is the complexity of asset dependency. Developing research tends to produce models with great complexity and some that do not involve dependency cycles, make the model difficult to implement. This research developed the idea of compound nodes to produce a modular risk analysis that simplify the asset dependency cycle. This study uses the following assumptions: aimed at quantitative assessments, values based on likelihood, and based on graph basic models. The stages of the method consist of identification of cyclic in the initial model, reconstructing cyclic graph into acyclic graph, and reconstruction of cyclic sub graph into acyclic sub graph. Through an illustrative example, this research produces a method that helps facilitate understanding the complexity of asset dependencies in risk analysis.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.