Welcome to Dr. Ryan Hosler's Homepage

Cybersecurity and Deep Learning Researcher.

Education

• PHD, May, 2024, Computer Science, Dissertation title: Towards Representation Learning for Robust Network Intrusion Detection Systems Purdue University
  
  M.S., May, 2020, Computer Science, Purdue University
  
  B.S., May, 2019, Computer Science, Purdue University
  
  

My Publications

• R. Hosler, A. Sundar, X. Zou, F. Li, and T. Gao, “Unsupervised deep learning for an image based network intrusion detection system,” in GLOBECOM 2023 - 2023 IEEE Global Communications Conference, pp. 6825–6831, 2023. 10.1109/GLOBECOM54140.2023.10437636
  
  R. Hosler, T. Phillips, X. Yu, A. Sundar, X. Zou, and F. Li, “Learning discriminative features for adversarial robustness,” in 2021 17th International Conference on Mobility, Sensing and Networking (MSN), pp. 303–310, 2021. 10.1109/MSN53354.2021.00055
  
  R. Hosler, X. Zou, and M. Bishop, "Electronic Voting Technology Inspired Interactive Teaching and Learning Pedagogy and Curriculum Development for Cybersecurity Education," in Information Security Education for Cyber Resilience (L. Drevin, N. Miloslavskaya, W. S. Leung, and S. von Solms, eds.), (Cham), pp. 27–43, Springer International Publishing, 2021., https://doi.org/10.1007/978-3-030-80865-5_3
  
  N. Swearingen, R. Hosler, and X. Zou, “Hardware speculation vulnerabilities and mitigations,” in 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2021, pp. 609–614. 10.1109/MASS52906.2021.00087
  
  R. Hosler, X. Liu, J. Carter, and M. Saper, “Raspbary: Hawkes point process wasserstein barycenters as a service,” 2019. [PDF] researchgate.net
  
  A. Morehead, L. Ogden, G. Magee, R. Hosler, B. White, and G. Mohler, “Low cost gunshot detection using deep learning on the raspberry pi,” in 2019 IEEE International Conference on Big Data (Big Data), pp. 3038–3044, 2019. 10.1109/BigData47090.2019.9006456