| Constructing and analyzing criminal networks H Sarvari, E Abozinadah, A Mbaziira, D McCoy 2014 IEEE security and privacy workshops, 84-91, 2014 | 84 | 2014 |
| Detection of abusive accounts with Arabic tweets EA Abozinadah, AV Mbaziira, J Jones Int. J. Knowl. Eng.-IACSIT 1 (2), 113-119, 2015 | 82 | 2015 |
| A text-based deception detection model for cybercrime A Mbaziira, J Jones Int. Conf. Technol. Manag, 1-8, 2016 | 81 | 2016 |
| An empirical study on detecting deception and cybercrime using artificial neural networks (Best Paper Presentation Award) AV Mbaziira, DR Murphy Proceedings of the 2nd International Conference on Compute and Data Analysis …, 2018 | 10 | 2018 |
| Evaluating classifiers in detecting 419 scams in bilingual cybercriminal communities AV Mbaziira, E Abozinadah, JH Jones Jr arXiv preprint arXiv:1508.04123, 2015 | 9 | 2015 |
| A non-algorithmic forensic approach for hiding data in image files (Best Paper Presentation Award) MF Sabir, JH Jones, H Liu, AV Mbaziira Proceedings of the 2Nd International Conference on Compute and Data Analysis …, 2018 | 6 | 2018 |
| Hybrid text-based deception models for native and Non-Native English cybercriminal networks AV Mbaziira, JH Jones Proceedings of the International Conference on Compute and Data Analysis, 23-27, 2017 | 6 | 2017 |
| Deep learning in detection of mobile malware AV Mbaziira, J Diaz-Gonzales, M Liu Journal of Computing Sciences in Colleges 36 (3), 80-88, 2020 | 3 | 2020 |
| Detecting and analyzing cybercrime in text-based communication of cybercriminal networks through computational linguistic and psycholinguistic feature modeling AV Mbaziira George Mason University, 2017 | 3 | 2017 |
| Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations MF Sabir, JH Jones, H Liu, AV Mbaziira Proceedings of the 2019 3rd International Conference on Compute and Data …, 2019 | 2 | 2019 |
| Lying trolls: Detecting deception and text-based disinformation using machine learning AV Mbaziira, MF Sabir, M Al Harrack Cybersecurity and Cognitive Science, 321-338, 2022 | 1 | 2022 |
| An exploratory deep learning approach to mobile malware detection J Diaz-Gonzalez, AV Mbaziira, M Liu Journal of Computing Sciences in Colleges 35 (3), 219-219, 2019 | 1 | 2019 |
| Exploring a Diplomatic System of Cooperation in the Cyber Space through a Proposed Cyber Diplomacy Cooperation Framework B Natalia, A MBAZIIRA International Conference on Cybersecurity and Cybercrime 10, 7-11, 2023 | | 2023 |
| Factors Affecting the Persistence of Deleted Files on Digital Storage Devices (Accepted) T Khan, J Jones, AV Mbaziira Future of Information and Communication Conference (FICC), pp. 656-673, 2023 | | 2023 |
| The Impact Of Covid-19 On Students’ Performance And Workforce Readiness (Accepted) AVM Mahederemariam B Dagne Southeast Decision Sciences Institute (SEDSI), 2023 | | 2023 |
| Machine Learning Applications for Military Red Team Operations (Accepted Abstract) MD Estame, R., King, S., Mbaziira, A.V. 15th International Conference on Cyber Conflict, CyCon 2023 - Meeting Reality, 2023 | | 2023 |
| An Explainable XGBoost-based Approach on Assessing Detection of Deception and Disinformation (Accepted) AV Mbaziira, MF Sabir SEINFORMS 2022, 2022 | | 2022 |
| Using AI to detect Disinformation in Web Genres (Best Paper Award) S Bravo, AV Mbaziira SEINFORMS 2021, 554-567, 2021 | | 2021 |
| An applied machine learning approach to detecting fraud in mobile transactions: faculty poster abstract F Alshameri, A Mbaziira, K Makhadmi Journal of Computing Sciences in Colleges 37 (3), 158-158, 2021 | | 2021 |
| Predicting Stealthy Watermarks in Files Using Deep Learning MF Sabir, JH Jones, H Liu, AV Mbaziira 2019 7th International Symposium on Digital Forensics and Security (ISDFS), 1-6, 2019 | | 2019 |
