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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.

Dinh, P.V. and Quang Uy, N. and Nguyen, D.N. and Thai Hoang, D. and Bao, S.P. and Dutkiewicz, E. (2022) Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection. In: 2022 IEEE Wireless Communications and Networking Conference, 10 April 2022 through 13 April 2022, Austin.

Dinh, P.V. and Ngoc, T.N. and Shone, N. and MacDermott, Á. and Shi, Q. (2017) Deep learning combined with de-noising data for network intrusion detection. In: 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES 2017, 15 November 2017 through 17 November 2017.

Dinh, P.V. and Nguyen, T.N. and Nguyen, Q.U. (2016) An empirical study of anomaly detection in online games. In: 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science, NICS 2016, 14 September 2016 through 16 September 2016.