Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks L Bontemps, VL Cao, J McDermott, NA Le-Khac International Conference on Future Data and Security Engineering, 141-152, 2016 | 321 | 2016 |
Learning Neural Representations for Network Anomaly Detection VL Cao, M Nicolau, J McDermott IEEE Transactions on Cybernetics, 1-14, 2019 | 163* | 2019 |
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection VL Cao, M Nicolau, J McDermott International Conference on Parallel Problem Solving from Nature, 717-726, 2016 | 139 | 2016 |
Learning Latent Representation for IoT Anomaly Detection L Vu, C Van Loi, QU Nguyen, DN Nguyen, DT Hoang, E Dutkiewicz IEEE Transactions on Cybernetics, 2020 | 60 | 2020 |
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming VL Cao, M Nicolau, J McDermott Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 47 | 2016 |
One-Class Collective Anomaly Detection Based on LSTM-RNNs NN Thi, VL Cao, NA Le-Khac Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXVI, 73-85, 2017 | 35* | 2017 |
Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System L Vu, VL Cao, QU Nguyen, DN Nguyen, DT Hoang, E Dutkiewicz ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 34 | 2019 |
Clustering-Based Deep Autoencoders for Network Anomaly Detection VQ Nguyen, VL Cao, VH Nguyen, NA Le-Khac International Conference on Future Data and Security Engineering, 290-303, 2020 | 16 | 2020 |
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data VL Cao, NA Le-Khac, M O’Neill, M Nicolau, J McDermott European Conference on the Applications of Evolutionary Computation, 35-45, 2016 | 15* | 2016 |
A scheme for building a dataset for intrusion detection systems VL Cao, VT Hoang, QU Nguyen Information and Communication Technologies (WICT), 2013 Third World Congress …, 2013 | 12* | 2013 |
One-class collective anomaly detection based on long short-term memory recurrent neural networks NN Thi, VL Cao, NA Le-Khac arXiv preprint arXiv:1802.00324, 2018 | 10 | 2018 |
Semantics based substituting technique for reducing code bloat in genetic programming TH Chu, QU Nguyen, VL Cao Proceedings of the 9th International Symposium on Information and …, 2018 | 9 | 2018 |
A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems VL Cao, TC Bui, M Hoang, QU Nguyen 2019 11th International Conference on Knowledge and Systems Engineering (KSE …, 2019 | 8 | 2019 |
Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection HN Nguyen, NN Tran, TH Hoang, VL Cao SN Computer Science 3 (6), 474, 2022 | 7 | 2022 |
A Robust PCA Feature Selection to Assist Deep Clustering Autoencoder-Based Network Anomaly Detection NV Quan, VH Nguyen, VL Cao, NA Le-Khac, N Shone 2021 8th NAFOSTED Conference on Information and Computer Science (NICS)(NICS’21), 2021 | 7 | 2021 |
Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection HN Nguyen, VC Nguyen, NN Tran, VL Cao International Conference on Future Data and Security Engineering, 2021 | 6 | 2021 |
Data Fusion-Based Network Anomaly Detection Towards Evidence Theory VL Cao, TC Bui, M Hoang, QU Nguyen 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), 2019 | 5 | 2019 |
IoT Malware Detection based on Latent Representation CN Van, VL Cao, VA Phan, KDT Nguyen 2020 12th International Conference on Knowledge and Systems Engineering (KSE …, 2020 | 3 | 2020 |
Detecting malware based on dynamic analysis techniques using deep graph learning NM Tu, NV Hung, PV Anh, C Van Loi, N Shone Future Data and Security Engineering: 7th International Conference, FDSE …, 2020 | 3 | 2020 |
Automatic bridge deck damage using low cost UAV-based images L Truong-Hong, S Chen, VL Cao, DF Laefer TU1406 Quality Specifications for Roadway Bridges Standardization at a …, 2018 | 3 | 2018 |