Urslla Uchechi Izuazu

Urslla profile photo

Urslla Uchechi Izuazu

Institut für Datentechnik und Kommunikationsnetze
Hans-Sommer-Straße 66
38106 Braunschweig

Raum: 1106
Telefon: +49 15212254929
E-Mail: urslla-uchechi.izuazu(at)tu.braunschweig.de

Biography

Urslla holds a B.Tech in Information Management Technology, from Federal University of Technology Owerri, Nigeria, and an M.Eng. in IT Convergence Engineering from Kumoh National Institute of Technology, Gumi, South korea. She is presently a Ph.D student, and works as a research assistance at the institute of computer and Network Engineering in Technische Universitat Braunschweig, Germany. Her Research interest revolves around Network Security,  Machine Learning,  and IoT/IIoT Networks.

Publication

Journal 
Izuazu, U.U., Nwakanma, C.I., Kim, DS. et al. Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks. Discov Internet Things 5, 9 (2025). https://doi.org/10.1007/s43926-025-00100-0

Simeon O.A., Igboanusi, I.S., Izuazu, U.U,  Ihekoronye, V.I., Kim, D.S. et al. Medical IoT Record Security and Blockchain: Systematic Review of Milieu, Milestones, and Momentum. Big Data Cogn.Comput. 2024,  8(9),121. https://doi.org/10.3390/bdcc8090121

Conference 

Izuazu, U.U,  Ihekoronye, V.I., Kim, D.S.  Lee, J.M. Securing Critical Infrastructure: A Denoising Data-Driven Approach for Intrusion Detection in ICS Network. 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). Osaka, Japan.   DOI: 10.1109/ICAIIC60209.2024.10463488

Izuazu, U.U, Kim, D.S.  Lee, J.M.  Unravelling the Black Box: Enhancing Virtual Reality Network Security with Interpretable Deep Learning-Based Intrusion Detection System. 2023 14th International Conference on Information and Communication Technology Convergence (ICTC)Jeju Island, South Korea. DOI: 10.1109/ICTC58733.2023.10392826

Ihekoronye, V.I., Izuazu, U.U., Nwakanma, C.I., Lee, J.M.  Kim, D.S.  ASR-FED: Agnostic Straggler Resilient Federated Algorithm for Drone Networks Security. 2024 IEEE INFOCOM  Vancouver, BC, Canada.  DOI: 10.1109/INFOCOMWKSHPS61880.2024.10620729