Mission-focused cyber situational understanding via graph analytics
Steven Noel, Paul D. Rowe, Stephen Purdy, Michael Limiero, Travis Lu, Will Mathews · 2018
This paper describes CyGraph, a prototype tool for improving network security posture, maintaining situational understanding in the face of cyberattacks, and focusing on protection of mission-critical assets. CyGraph captures complex relationships among entities in the cyber security domain, along with how mission elements depend on cyberspace assets. Pattern-matching queries traverse the graph of interrelations according to user-specified constraints, yielding focused clusters of high-risk activity from the swarm of complex interrelationships. Analytic queries are expressed in CyGraph Query Language (CyQL), a domain-specific language for expressing graph patterns of interest, which CyGraph translates to the backend native query language. CyGraph automatically infers the structure of its underlying graph model through analysis of the ingested data, which it presents to the user for generating queries in an intuitive way. CyGraph has been experimentally validated in both enterprise and tactical military environments.