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Article

Nguyen, V.Q. and Ngo, L.T. and Nguyen, L.M. and Nguyen, V.H. and Shone, N. (2024) Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection. Knowledge-Based Systems, 301. ISSN 09507051

Nguyen, V.Q. and Luu, M.D. and Pham, D.T. and To, T.L. and Tran, Q.D. and Pham, S.H. and Hoang, A.S. and Doan, Q.T. and Nguyen, T.L. (2024) Facile process for cost-effective layer-by-layer rGO/SiO2 structure for high microwave absorption. Ceramics International.

Nguyen, T.H. and Nguyen, H.X. and Tran, T.N.-C. and Park, J.W. and Le, K.M. and Nguyen, V.Q. and Jeon, J.W. (2021) An Effective Method to Improve the Accuracy of a Vernier-Type Absolute Magnetic Encoder. IEEE Transactions on Industrial Electronics, 68 (8): 9115877. pp. 7330-7340. ISSN 2780046

Conference or Workshop Item

Nguyen, V.Q. and Ngo, T.L. and Nguyen, L.M. and Nguyen, V.H. and Shone, N. (2023) Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. In: UNSPECIFIED.

Nguyen, V.Q. and Ngo, T.L. and Nguyen, L.M. and Nguyen, V.H. and Van Nguyen, V. and Nguyen, T.H. (2023) Hybrid of Deep Auto-Encoder and Maximum Mean Discrepancy for Cyber Reconnaissance Detection. In: UNSPECIFIED.

Tran, Q.T. and Nguyen, V.Q. and Ngo, T.L. (2023) Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems. In: UNSPECIFIED.

Luu, C.D. and Nguyen, V.Q. and Pham, T.S. and Le-Khac, N.-A. (2023) A Zero-Shot Deep Learning Approach for Unknown IoT Botnet Attack Detection. In: UNSPECIFIED.

Nguyen, V.Q. and Nguyen, V.H. and Hoang, T.H. and Shone, N. (2022) A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. In: Conference of 14th International Conference on Knowledge and Systems Engineering, KSE 2022, 19 October 2022 Through 21 October 2022, Virtual, Online.

Nguyen, V.Q. and Nguyen, V.H. and Le-Khac, N.-A. and Cao, V.L. (2020) Clustering-Based Deep Autoencoders for Network Anomaly Detection. In: 7th International Conference on Future Data and Security Engineering, FDSE 2020, 25 November 2020 through 27 November 2020.