Van Loi Cao

Manh Tuan Nguyen

Trang Dang Le Dinh

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Deep Clustering Based Latent Representation for IoT Malware Detection.

[BibT_eX]

[DOI]

Huu Noi Nguyen

Nguyen Ngoc Tran

Proceedings of the 12th International Conference on Control, 2023

2022

Learning Latent Representation for IoT Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection.

[BibT_eX]

[DOI]

SN Comput. Sci., 2022

2021

Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021

2020

Clustering-Based Deep Autoencoders for Network Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering - 7th International Conference, 2020

2019

Learning Neural Representations for Network Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks.

[BibT_eX]

[DOI]

Nga Nguyen Thi

Nhien-An Le-Khac

CoRR, 2018

Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming.

[BibT_eX]

[DOI]

Thi Huong Chu

Quang Uy Nguyen

Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018

2017

One-Class Collective Anomaly Detection Based on LSTM-RNNs.

[BibT_eX]

[DOI]

Nga Nguyen Thi

Nhien-An Le-Khac

Trans. Large Scale Data Knowl. Centered Syst., 2017

Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets.

[BibT_eX]

[DOI]

CoRR, 2017

Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network.

[BibT_eX]

[DOI]

CoRR, 2017

Late-acceptance and step-counting hill-climbing GP for anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Future Data and Security Engineering - Third International Conference, 2016

Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming.

[BibT_eX]

[DOI]