Yuanyuan Wei

According to our database, Yuanyuan Wei authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods.

Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe

CoRR, 2023

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

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Wen Xu, Seyit Camtepe, Aeryn Dunmore

CoRR, 2023

2022

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

Tong Liu, Fariza Sabrina, Julian Jang-Jaccard, Wen Xu, Yuanyuan Wei

Sensors, 2022

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

Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic

CoRR, 2022

2021

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

Wen Xu, Julian Jang-Jaccard, Amardeep Singh, Yuanyuan Wei, Fariza Sabrina

IEEE Access, 2021

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

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Amardeep Singh, Wen Xu, Seyit Camtepe

IEEE Access, 2021

MSD-Kmeans: A Hybrid Algorithm for Efficient Detection of Global and Local Outliers.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

2020

Large-Scale Outlier Detection for Low-Cost PM₁₀ Sensors.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Hooman Alavizadeh

IEEE Access, 2020

2019

MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh

CoRR, 2019