James Halladay

According to our database, James Halladay authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Tabular-to-Image Transformations for the Classification of Anonymous Network Traffic Using Deep Residual Networks.

Nathan Briner, Drake Cullen, James Halladay, Darrin Miller, Riley Primeau, Abraham Avila, Ram B. Basnet, Tenzin Doleck

IEEE Access, 2023

2022

CMU-SynTraffic-2022.

Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet

Dataset, May, 2022

Detection and Characterization of DDoS Attacks Using Time-Based Features.

James Halladay, Drake Cullen, Nathan Briner, Jackson Warren, Karson Fye, Ram B. Basnet, Jeremy Bergen, Tenzin Doleck

IEEE Access, 2022

Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification.

Drake Cullen, James Halladay, Nathan Briner, Ram B. Basnet, Jeremy Bergen, Tenzin Doleck

IEEE Access, 2022

2021

Application of Deep Learning on the Characterization of Tor Traffic using Time based Features.

Clayton Johnson, Bishal Khadka, Ethan Ruiz, James Halladay, Tenzin Doleck, Ram B. Basnet

J. Internet Serv. Inf. Secur., 2021