Constructing and Analyzing Criminal Networks. - Hamed Sarvari; Ehab Atif Abozinadah; Alex Mbaziira; Damon McCoy (IEEE Symposium on Security and Privacy Workshops, 2014)

Evaluating Classifiers in Detecting 419 Scams in Bilingual Cybercriminal Communities. - Alex Mbaziira; Ehab Atif Abozinadah; James H. Jones Jr. (CoRR, 2015)

Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks. - Alex V. Mbaziira; James H. Jones (ICCDA, 2017)

An Empirical Study on Detecting Deception and Cybercrime Using Artificial Neural Networks. - Alex V. Mbaziira; Diane R. Murphy (ICCDA, 2018)

A Non-Algorithmic Forensic Approach for Hiding Data in Image Files. - Maha F. Sabir; James H. Jones; Hang Liu 003; Alex V. Mbaziira (ICCDA, 2018)

Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations. - Maha F. Sabir; James H. Jones; Hang Liu 003; Alex V. Mbaziira (ICCDA, 2019)

Predicting Stealthy Watermarks in Files Using Deep Learning. - Maha F. Sabir; James H. Jones; Hang Liu 003; Alex V. Mbaziira (ISDFS, 2019)

An exploratory deep learning approach to mobile malware detection. - Jocelyn Diaz-Gonzales; Alex V. Mbaziira; Xiang Michelle Liu (J. Comput. Sci. Coll., 2019)

Deep learning in detection of mobile malware. - Alex V. Mbaziira; Jocelyn Diaz-Gonzales; Xiang Michelle Liu (J. Comput. Sci. Coll., 2020)

An applied machine learning approach to detecting fraud in mobile transactions: faculty poster abstract. - Faleh Alshameri; Alex Mbaziira; Khadijah Makhadmi (J. Comput. Sci. Coll., 2021)

An Extended Review: LLM Prompt Engineering in Cyber Defense. - Neethu Shenoy; Alex V. Mbaziira (ICECET, 2024)

An Explainable XGBoost-based Approach on Assessing Detection of Deception and Disinformation. - Alex V. Mbaziira; Maha F. Sabir (CoRR, 2024)