Abstract
Automated and cost-effective security configuration for cyber risk management is a complex decision-making process because it requires considering many different factors, including hosts’ security weaknesses, potential threat actors, critical assets’ exposure to threat actors due to network connectivity, service reachability requirements according to business polices, acceptable usability due to security hardness, and budgetary constraints. Although many automated techniques and tools have been proposed to scan host vulnerabilities and verify their compliance with security policies, existing approaches lack metrics and analytics to identify fine-grained network access control based on comprehensive risk analysis using the network connectivity and both the hosts’ compliance reports and live threat activity.
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