Industrial Network Security

Research in industrial network security focuses on protecting the operational technology (OT) and critical infrastructure systems that underpin modern industry. This work addresses vulnerabilities in Supervisory Control and Data Acquisition (SCADA) systems, programmable logic controllers (PLCs), and other industrial control systems (ICS) that manage physical processes. Investigations explore secure network architectures, intrusion detection methods tailored for industrial environments, and the development of resilient systems capable of withstanding cyberattacks. Techniques often involve analyzing network traffic patterns, simulating attack scenarios, and applying machine learning for anomaly detection.

This research holds significant relevance for Arkansas's diverse industrial base, including manufacturing, energy production, and agriculture, where secure and reliable operation of control systems is paramount. Protecting these networks safeguards essential services, prevents economic disruption, and ensures public safety. The state's growing advanced manufacturing sector, in particular, benefits from advancements in securing the digital infrastructure that supports production and supply chains.

This area draws upon expertise in cybersecurity, computer networking, and machine learning. Collaborations extend to cyber-physical systems security and data plane programmability, fostering a comprehensive approach to safeguarding industrial operations across institutions within the state.