Strategies for Practical Hybrid Attack Graph Generation and Analysis

As an analytical tool in cyber-security, attack graph (AG) is capable of discovering multi-stage vectors on target computer networks. Cyber-physical systems (CPSs) comprise a special type network that not only contains computing devices but also integrates components operate the continuous domain, such as sensors and actuators. Using AGs CPSs requires system models exploit patterns capture both token- real-valued information. In this article, we describe hybrid AG model for security analysis Specifically, focus two issues related to applying practice: efficient generation techniques information extraction from them. To address first issue, present accelerated generator employs parallel programming high performance (HPC). We conduct tests CPU GPU platforms characterize efficiency our algorithms. second introduce regimen based centrality apply it generated CPS discover effective vulnerability remediation solutions.