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ORCIDNathan Briner
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Journal Articles
- 2023
[j4]Nathan Briner
, Drake Cullen, James Halladay, Darrin Miller, Riley Primeau, Abraham Avila, Ram B. Basnet, Tenzin Doleck:
Tabular-to-Image Transformations for the Classification of Anonymous Network Traffic Using Deep Residual Networks. IEEE Access 11: 113100-113113 (2023)- 2022
- [j3]James Halladay, Drake Cullen, Nathan Briner, Jackson Warren, Karson Fye, Ram B. Basnet, Jeremy Bergen, Tenzin Doleck:
Detection and Characterization of DDoS Attacks Using Time-Based Features. IEEE Access 10: 49794-49807 (2022) - [j2]Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet, Jeremy Bergen, Tenzin Doleck:
Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification. IEEE Access 10: 129612-129625 (2022) - 2021
- [j1]Matthew Behnke, Nathan Briner, Drake Cullen, Katelynn Schwerdtfeger, Jackson Warren, Ram B. Basnet, Tenzin Doleck:
Feature Engineering and Machine Learning Model Comparison for Malicious Activity Detection in the DNS-Over-HTTPS Protocol. IEEE Access 9: 129902-129916 (2021)
Data and Artifacts
- 2022
- [d1]Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet:
CMU-SynTraffic-2022. IEEE DataPort, 2022
Coauthor Index
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