tyler Cash
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Tyler Cash's research focuses on real-time anomaly detection in operational technology (OT) networks, employing GRU-based autoencoders. This work contributes to network security by identifying unusual patterns that may indicate threats or system malfunctions. His recent publication in 2025 highlights this area of study. Cash has collaborated with several researchers at the University of Arkansas at Fayetteville, including Kenneth Mordi, Wesley G. Schwartz, Anna Corbitt, and Joseph Dumond, with whom he shares publications. His academic work reflects an active engagement with current research in network security and machine learning applications.
Metrics
- Publications: 3
Selected Publications
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Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders (2025)
Collaboration Network
Top Collaborators
- Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders
- Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders
- Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders
- Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders
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