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Journals peer-reviewed by Scopus

Dinh, P.V. and Nguyen, Q.U. and Hoang, D.T. and Nguyen, D.N. and Bao, S.P. and Dutkiewicz, E. (2023) Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems. IEEE Internet of Things Journal. p. 1. ISSN 23274662

Dinh, P.V. and Nguyen, D.N. and Hoang, D.T. and Uy, N.Q. and Bao, S.P. and Dutkiewicz, E. (2022) Balanced Twin Auto-Encoder for IoT Intrusion Detection. In: 2022 IEEE Global Communications Conference, GLOBECOM 2022, 4 December 2022 through 8 December 2022, Virtual, Online.

Vu, L. and Cao, V.L. and Nguyen, Q.U. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2022) Learning Latent Representation for IoT Anomaly Detection. IEEE Transactions on Cybernetics, 52 (5). pp. 3769-3782. ISSN 21682267

Vu, L. and Nguyen, Q.U. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2020) Deep Transfer Learning for IoT Attack Detection. IEEE Access, 8: 9110582. pp. 107335-107344. ISSN 21693536

Vu, L. and Thuy, H.V. and Nguyen, Q.U. and Ngoc, T.N. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2018) Time Series Analysis for Encrypted Traffic Classification: A Deep Learning Approach. In: 18th International Symposium on Communication and Information Technology, ISCIT 2018, 26 September 2018 through 29 September 2018.