Wen Xu

发表

LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data

Fariza Sabrina, S. Çamtepe, Yuanyuan Wei, 2022, IEEE Sensors Journal.

Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier

Fariza Sabrina, Ju-Seong Jang, Wen Xu, 2022, Comput..

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset

Fariza Sabrina, Julian Jang-Jaccard, Yuanyuan Wei, 2021, IEEE Access.

Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems

Yuanyuan Wei, Wen Xu, Julian Jang-Jaccard, 2021, Sensors.

AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification

Fariza Sabrina, Julian Jang-Jaccard, Seyit Camtepe, 2021, IEEE Access.

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection

Ju-Seong Jang, Wen Xu, Tong Liu, 2022, ArXiv.

T RAINING A B IDIRECTIONAL GAN- BASED O NE -C LASS C LASSIFIER FOR N ETWORK I NTRUSION D ETECTION

Wen Xu, Julian Jang-Jaccard, 2022 .

IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset

Fariza Sabrina, Ju-Seong Jang, Wen Xu, 2022, Journal of Big Data.

Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data

S. Çamtepe, Yuanyuan Wei, Ju-Seong Jang, 2023, ArXiv.