Supporting Cyber Resilience with Semantic Wiki

Title: Supporting Cyber Resilience with Semantic Wiki

Authors: Riku Nykänen and Tommi Kärkkäinen (University of Jyväskylä)

Abstract: Cyber resilient organizations, their functions and computing infrastructures, should be tolerant towards rapid and unexpected changes in the environment. Information security is an organization-wide common mission; whose success strongly depends on efficient knowledge sharing. For this purpose, semantic wikis have proved their strength as a flexible collaboration and knowledge sharing platforms. However, there has not been notable academic research on how semantic wikis could be used as information security management platform in organizations for improved cyber resilience. In this paper, we propose to use semantic wiki as an agile information security management platform. More precisely, the wiki contents are based on the structured model of the NIST Special Publication 800-53 information security control catalogue that is extended in the research with the additional properties that support the information security management and especially the security control implementation. We present common uses cases to manage the information security in organizations and how the use cases can be implemented using the semantic wiki platform. As organizations seek cyber resilience, where focus is in the availability of cyber related assets and services, we extend the control selection with option to focus on availability. The results of the study show that a semantic wiki based information security management and collaboration platform can provide a cost-efficient solution for improved cyber resilience, especially for small and medium sized organizations that struggle to develop information security with the limited resources.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.