Seok-Jun Bu

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

Jin Young Kim, Seok-Jun Bu, Sung‐Bae Cho · Information Sciences · 2018 · 254 citations

Engineering, Generative Adversarial Network, Deep Autoencoders +5

Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption

Seok-Jun Bu, Sung-Bae Cho · Energies · 2020 · 83 citations · Full text

Energy Consumption, Forecasting Methodology, Engineering +12

A convolutional neural-based learning classifier system for detecting database intrusion via insider attack

Seok-Jun Bu, Sung-Bae Cho · Information Sciences · 2019 · 75 citations

Anomaly Detection, Machine Learning, Data Science +10

Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection

Seok-Jun Bu, Sung-Bae Cho · Electronics · 2021 · 52 citations · Full text

Convolutional Autoencoder, Convolutional Neural Network, Anomaly Detection +15

3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance

Wonsup Shin, Seok-Jun Bu, Sung‐Bae Cho · International Journal of Neural Systems · 2020 · 47 citations

Anomaly Detection, Machine Learning, Engineering +18