The Multi-Layer Graph Based Technique for Proactive Automatic Response Against Cyber Attacks

Abstract

The paper evolves an approach for proactive automatic cyber security incident response. The approach is based on usage of data from open sources, analytical modeling and a hierarchical integrated set of heterogeneous security metrics. The paper outlines the features of the analytical models that are crucial for countermeasure selection. It determines a set of security metrics for countermeasure selection. The algorithms that implement the suggested multi-layer countermeasure selection technique are specified. Introduction of the layers allows getting the result at any time with the maximum accuracy depending on the available data. The experiments that demonstrate the efficiency of the suggested technique are outlined.