A Novel Secure Big Data Cyber Incident Analytics Framework for Cloud-Based Cybersecurity Insurance
The remarkable increasing demands of mitigating losses from cyber incidents for financial firms has been driving the rapid development of the Cybersecurity Insurance (CI). The implementations of CI have covered a variety of aspects in cyber incidents, from hacking to frauds. However, CI is still at its exploring stage so that there are a number of dimensions that are uncovered by the current applications. The cyber attack on critical infrastructure is one of the serious issues that prevents the expansions of CI. This paper addresses CI implementations focusing on cloud-based service offerings and proposes a secure cyber incident analytics framework using big data. Our approach is designed for matching different cyber risk scenarios, which uses repository data. Our simulation has provided the theoretical proof of the adoptability and feasibility.