Attack Graph Analysis

This research area focuses on developing and applying computational methods to understand and mitigate cybersecurity threats. Researchers investigate how to model complex attack scenarios, identify vulnerabilities in networked systems, and predict the potential impact of malicious activities. Techniques employed include graph theory, optimization algorithms, and formal methods to represent and analyze the relationships between system components and possible exploitation paths. The goal is to provide a structured understanding of an adversary's potential actions and to inform defensive strategies.

In Arkansas, this research holds relevance for protecting critical infrastructure, including the state's significant agricultural sector, its growing logistics and transportation networks, and its expanding healthcare systems. Understanding attack graphs can help secure the digital backbone of these industries, safeguarding sensitive data and ensuring operational continuity against cyber threats that could disrupt economic activity or public services.

This work draws upon and contributes to fields such as operations research, computer science, and applied mathematics. It involves collaborations that leverage expertise in optimization and computational security to address challenging problems in cybersecurity.