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James Halladay

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2020 – today

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2023
[j4]
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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]
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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)
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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)
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Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet:
CMU-SynTraffic-2022. IEEE DataPort, 2022
2021
[j1]
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  - journals/jisis/JohnsonKRHDB21
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Clayton Johnson, Bishal Khadka, Ethan Ruiz, James Halladay, Tenzin Doleck, Ram B. Basnet:
Application of Deep Learning on the Characterization of Tor Traffic using Time based Features. J. Internet Serv. Inf. Secur. 11(1): 44-63 (2021)

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