Joseph P Dumond
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Joseph P Dumond's research focuses on the application of machine learning techniques for network security, with a particular emphasis on intrusion recognition and anomaly detection in operational technology (OT) networks. He has investigated the use of autoencoders, including GRU-based models, for real-time anomaly detection and developed P4-based applications for smart grid security. His work also extends to exploring flow-level autoencoders for intrusion recognition systems. Dumond has contributed to the field through publications in recent years, indicating ongoing activity in his research area.
Metrics
- Publications: 1
Selected Publications
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FLAIR- Flow-Level Anomaly Intrustion Recognition (2026)Journal of the Arkansas Academy of Science OpenAlex
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F.L.A.I.R. -- A Flow-Level Autoencoder for Intrusion Recognition (2026)Journal of the Arkansas Academy of Science OpenAlex
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Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders (2025)
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Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development (2025)
Collaboration Network
Top Collaborators
- Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development
- Real-Time Anomaly Detection in OT Networks Using GRU-Based Autoencoders
- Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development
- Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development
- Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development
- Developing P4-Based Applications on Academic Cloud Platforms for Smart Grid Security, Resilience, and Workforce Development
- 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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