Generating artificial attack data for intrusion detection using machine learning. - Truong Son Pham; Quang Uy Nguyen; Xuan Hoai Nguyen (SoICT, 2014)

Machine learning techniques for web intrusion detection - A comparison. - Truong Son Pham; Tuan Hao Hoang; Van Canh Vu (KSE, 2016)

Modeling The Causes Of Terrorism From Media News: An Innovative Framework Connecting Impactful Events With Terror Incidents. - Truong Son Pham; Tuan Hao Hoang (KSE, 2018)

A concise review of AI-based solutions for mass casualty management. - Marian Sorin Nistor; Truong Son Pham; Stefan Pickl; Constantin Gaindric; Svetlana Cojocaru (CITRisk, 2020)

A hybrid framework for prediction problem in large collections of short time series. - Truong Son Pham (2020)

Resource Optimization in Mass Casualty Management: A Comparison of Methods. - Marian Sorin Nistor; Maximilian Moll; Truong Son Pham; Stefan Wolfgang Pickl; Dieter Budde (OR, 2021)

Genetic Algorithm Approach for Casualty Processing Schedule. - Marian Sorin Nistor; Truong Son Pham; Stefan Pickl (HICSS, 2022)

udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series. - Truong Son Pham; Viet Hung Nguyen; Anh Thang Le; Van Duong Bui (RICE, 2022)

A Zero-Shot Deep Learning Approach for Unknown IoT Botnet Attack Detection. - Chi Duc Luu; Van Quan Nguyen; Truong Son Pham; Nhien-An Le-Khac (RIVF, 2023)

Machine Learning in Vehicle Travel Time Estimation: A Brief Technological Perspective and Review. - Truong Son Pham; Marian Sorin Nistor; Loi Cao; Markus Gerschberger; Maximilian Moll (HICSS, 2024)

CaT: A Rapid and Precise Algorithm for Piecewise Linear Representation of Time Series. - Truong Son Pham (RIVF, 2024)