By Dr Nour Moustafa

Journal articles

Wang M; Abdelfattah S; Moustafa N; Hu J, 2018, 'Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals', IEEE Transactions on Emerging Topics in Computational Intelligence, http://dx.doi.org/10.1109/TETCI.2018.2829981

Moustafa NM; Adi ERWIN; Turnbull BENJAMIN; Hu JIANKUN, 2018, 'A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2018.2844794

Al-Hawawreh M; Moustafa N; Sitnikova E, 2018, 'Identification of Malicious Activities in Industrial Internet of Things Based on Deep Learning Models', Journal of Information Security and Applications, https://www.sciencedirect.com/science/article/pii/S2214212617306002

Moustafa NM; Misra G; Slay J, 2018, 'Generalized Outlier Gaussian Mixture technique based on Automated Association Features for Simulating and Detecting Web Application Attacks', IEEE Transactions on Sustainable Computing, 6, pp. 245 - 256, http://dx.doi.org/10.1109/TSUSC.2018.2808430

Moustafa N; Slay J, 2017, 'RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis', , http://arxiv.org/abs/1711.02824v1

Moustafa N; Slay J; Creech G, 2017, 'Novel Geometric Area Analysis Technique for Anomaly Detection using Trapezoidal Area Estimation on Large-Scale Networks', IEEE Transactions on Big Data, http://dx.doi.org/10.1109/TBDATA.2017.2715166

Moustafa N; Slay J, 2016, 'The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set', Information Security Journal, 25, pp. 18 - 31, http://dx.doi.org/10.1080/19393555.2015.1125974

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