publications

2024

1. SEDE

   Adversarial Attack Optimization and Evaluation for Machine Learning-based Dark Web Traffic Analysis

   N. Harrison, H. Broome, Y. Shrestha, and 3 more authors

   In 33rd International Conference on Software Engineering and Data Engineering (SEDE), 2024

   Abs DOI Bib HTML

   Investigates how adversarial attacks degrade ML-based classifiers operating over darknet traffic, evaluating attack effectiveness and proposing optimization strategies for both attackers and defenders.

   @inproceedings{harrison2024adversarial,
     title = {Adversarial Attack Optimization and Evaluation for Machine Learning-based Dark Web Traffic Analysis},
     author = {Harrison, N. and Broome, H. and Shrestha, Y. and Robles, A. and Gautam, A. and Rahimi, N.},
     booktitle = {33rd International Conference on Software Engineering and Data Engineering (SEDE)},
     pages = {3--13},
     year = {2024},
     doi = {10.1007/978-3-031-75201-8_1},
   }

2022

1. CSCI

   SMS Malware Detection: A Machine Learning Approach

   H. Broome, Y. Shrestha, N. Harrison, and 1 more author

   In 2022 International Conference on Computational Science and Computational Intelligence (CSCI), 2022

   Abs DOI Bib HTML

   Presents a machine learning pipeline for detecting malicious SMS messages, comparing classical classifiers across feature representations of message content.

   @inproceedings{broome2022sms,
     title = {{SMS} Malware Detection: A Machine Learning Approach},
     author = {Broome, H. and Shrestha, Y. and Harrison, N. and Rahimi, N.},
     booktitle = {2022 International Conference on Computational Science and Computational Intelligence (CSCI)},
     pages = {937--942},
     year = {2022},
     doi = {10.1109/CSCI58124.2022.00167},
   }