Oversampling for Detection of Malicious JavaScript in Realistic Environment. - Phung Minh Ngoc; Mamoru Mimura (BWCCA, 2020)

Data augmentation of JavaScript dataset using DCGAN and random seed. - Phung Minh Ngoc; Mamoru Mimura (CANDAR (Workshops), 2021)

Detection of malicious javascript on an imbalanced dataset. - Phung Minh Ngoc; Mamoru Mimura (Internet Things, 2021)

Evaluation of a cGAN Model and Random Seed Oversampling on Imbalanced JavaScript Datasets. - Phung Minh Ngoc; Mamoru Mimura (J. Inf. Process., 2022)

Malicious JavaScript Detection Based on AST Analysis and Key Feature Re-sampling in Realistic Environments. - Phung Minh Ngoc; Mamoru Mimura (C2SI, 2023)

Malicious JavaScript Detection in Realistic Environments with SVM and MLP Models. - Phung Minh Ngoc; Mamoru Mimura (J. Inf. Process., 2024)