Relevance Filtering for Shared Cyber Threat Intelligence (Short Paper)

摘要

Cyber threat intelligence sharing is an imperative process to survive current and future attacks. The received information may protect stakeholders from being attacked by utilizing the course of action to remedy on-site vulnerabilities. Automating this process has shown to be challenging because several processes have to be synchronized and orchestrated to achieve the goal of automated information sharing. Organizations are inundated with threat information generated on site and received through crowd sourcing. This work presents a novel component for automated sharing, i.e. the content relevance filter.