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Journals peer-reviewed by Scopus

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 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 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.

Tu, N.M. and Hung, N.V. and Anh, P.V. and Van Loi, C. and Shone, N. (2020) Detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning. In: 7th International Conference on Future Data and Security Engineering, FDSE 2020, 25 November 2020 through 27 November 2020.

Shone, N. and Ngoc, T.N. and Phai, V.D. and Shi, Q. (2018) A Deep Learning Approach to Network Intrusion Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, 2 (1): 8264962. pp. 41-50. ISSN 2471285X

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.