By Dr Nour Moustafa Abdelhameed Moustafa

Journal articles

Dunn C; Moustafa N; Turnbull B, 2020, 'Robustness evaluations of sustainable machine learning models against data poisoning attacks in the internet of things', Sustainability (Switzerland), 12, http://dx.doi.org/10.3390/SU12166434

Keshk M; Turnbull B; Moustafa N; Vatsalan D; Choo KKR, 2020, 'A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks', IEEE Transactions on Industrial Informatics, 16, pp. 5110 - 5118, http://dx.doi.org/10.1109/TII.2019.2957140

Asharf J; Moustafa N; Khurshid H; Debie E; Haider W; Wahab A, 2020, 'A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions', Electronics (Switzerland), 9, http://dx.doi.org/10.3390/electronics9071177

Koroniotis N; Moustafa N; Sitnikova E, 2020, 'A New Network Forensic Framework based on Deep Learning for Internet of Things Networks: A Particle Deep Framework', Future Generation Computers Systems

Alkadi O; Moustafa N; Turnbull B, 2020, 'A Review of Intrusion Detection and Blockchain Applications in the Cloud: Approaches, Challenges and Solutions', IEEE Access, 8, pp. 104893 - 104917, http://dx.doi.org/10.1109/ACCESS.2020.2999715

Alsaedi A; Moustafa N; Tari Z; Mahmood A; Adna N Anwar , 2020, 'TON-IoT telemetry dataset: A new generation dataset of IoT and IIoT for data-driven intrusion detection systems', IEEE Access, 8, pp. 165130 - 165150, http://dx.doi.org/10.1109/ACCESS.2020.3022862

Alkadi O; Moustafa N; Turnbull B; Choo K-KR, 2019, 'An ontological graph identification method to improve Localization of IP prefix hijacking in network systems', IEEE Transactions on Information Forensics and Security

Koroniotis N; Moustafa N; Sitnikova E; Turnbull B, 2019, 'Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset', Future Generation Computer Systems

Moustafa N, 2019, 'A Systemic IoT-Fog-Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing', , http://arxiv.org/abs/1906.01055v1

Moustafa N; Hu J; Slay J, 2019, 'A holistic review of Network Anomaly Detection Systems: A comprehensive survey', Journal of Network and Computer Applications, 128, pp. 33 - 55, http://dx.doi.org/10.1016/j.jnca.2018.12.006

Moustafa N; Choo K-KR; Radwan I; Camtepe S, 2019, 'Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog', IEEE Transactions on Information Forensics and Security, http://dx.doi.org/10.1109/TIFS.2018.2890808

Koroniotis N; Moustafa N; Sitnikova E, 2019, 'Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions', IEEE Access, 7, pp. 61764 - 61785, http://dx.doi.org/10.1109/ACCESS.2019.2916717

Radwan I; Moustafa N; Keating B; Choo KKR; Goecke R, 2019, 'Hierarchical Adversarial Network for Human Pose Estimation', IEEE Access, 7, pp. 103619 - 103628, http://dx.doi.org/10.1109/ACCESS.2019.2931050

Alkadi O; Moustafa N; Turnbull B; Choo KKR, 2019, 'Mixture localization-based outliers models for securing data migration in cloud centers', IEEE Access, 7, pp. 114607 - 114618, http://dx.doi.org/10.1109/ACCESS.2019.2935142

Keshk M; Sitnikova E; Moustafa N; Hu J; Khalil I, 2019, 'An Integrated Framework for Privacy-Preserving based Anomaly Detection for Cyber-Physical Systems', IEEE Transactions on Sustainable Computing, pp. 1 - 1, http://dx.doi.org/10.1109/tsusc.2019.2906657

Hassan M; Moustafa N; Sitnikova E; Turnbull B, 2018, 'Privacy-preserving big data analytics for cyber-physical systems', Wireless Networks, http://dx.doi.org/10.1007/s11276-018-01912-5

Moustafa N; Turnbull B; Raymond Choo K-K, 2018, 'An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2018.2871719

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', 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

Conference Papers

Masud MT; Keshk M; Moustafa N; Linkov I, 2023, 'An Explainable Intrusion Discovery Framework for Assessing Cyber Resilience in the Internet of Things Networks', in Proceedings of the Future Technologies Conference (FTC) 2023, Springer Nature, Vancouver, BC, Canada, pp. 199 - 215, presented at Future Technologies Conference (FTC) 2023, Vancouver, BC, Canada, 19 October 2023, http://dx.doi.org/10.1007/978-3-031-47448-4_15

Mohamed H; Koroniotis N; Moustafa N, 2023, 'Digital Forensics based on Federated Learning in IoT Environment', in ACM International Conference Proceeding Series, pp. 92 - 101, http://dx.doi.org/10.1145/3579375.3579387

Huang H; Sun N; Lin X; Moustafa N, 2022, 'Towards Generalized Deepfake Detection With Continual Learning On Limited New Data', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034569

Akter M; Moustafa N; Lynar T, 2022, 'Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems', in INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops, http://dx.doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798196

Koroniotis N; Moustafa N; Turnbull B; Schiliro F; Gauravaram P; Janicke H, 2021, 'A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments', in Proceedings - 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021, pp. 887 - 894, http://dx.doi.org/10.1109/TrustCom53373.2021.00125

Yang S; Guo H; Moustafa N, 2021, 'Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network', in IEEE International Conference on Software Quality, Reliability and Security, QRS, pp. 829 - 840, http://dx.doi.org/10.1109/QRS54544.2021.00092

Ashraf J; Moustafa N; Bukhshi AD; Javed A, 2021, 'Intrusion Detection System for SDN-enabled IoT Networks using Machine Learning Techniques', in Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW, pp. 46 - 52, http://dx.doi.org/10.1109/EDOCW52865.2021.00031

Sarhan M; Layeghy S; Moustafa N; Portmann M, 2021, 'NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems', in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp. 117 - 135, http://dx.doi.org/10.1007/978-3-030-72802-1_9

Moustafa N; Ahmed M; Ahmed S, 2020, 'Data Analytics-enabled Intrusion Detection: Evaluations of Linux ToN_IoT Datasets', in Wang GJ; Ko R; Bhuiyan MZA; Pan Y (eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Institute of Electrical and Electronics Engineers (IEEE), Guangzhou, China, pp. 727 - 735, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020 - 01 January 2021, http://dx.doi.org/10.1109/trustcom50675.2020.00100

Wu P; Moustafa N; Yang S; Guo H, 2020, 'Densely Connected Residual Network for Attack Recognition', in Wang GJ; Ko R; Bhuiyan MZA; Pan Y (eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Institute of Electrical and Electronics Engineers (IEEE), Guangzhou, China, pp. 233 - 242, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020 - 01 January 2021

Moustafa N; Hassan M; Debie E; Janicke H, 2020, 'Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications', in Wang GJ; Ko R; Bhuiyan MZA; Pan Y (eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Institute of Electrical and Electronics Engineers (IEEE), Guangzhou, China, pp. 848 - 855, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020 - 01 January 2021, http://dx.doi.org/10.1109/trustcom50675.2020.00114

Moustafa N; Salim S; Turnbull B, 2020, 'Privacy-Encoding Models for Preserving Utility of Machine Learning Algorithms in Social Media', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020

Hassan M; Moustafa N; Sitnikova E; Turnbull B; Vatsalan D, 2020, 'Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems', Tokyo, Japan, presented at The 16th International Conference on Mobility, Sensing and Networking (MSN 2020), Tokyo, Japan, 19 December 2020

Weinge B; Kim J; Sim A; Nakashima M; Moustafa N; Wu J, 2020, 'Enhancing IoT Anomaly Detection Performance for Federated Learning', IEEE, Tokyo, Japan, presented at The 16th International Conference on Mobility, Sensing and Networking (MSN 2020), Tokyo, Japan, 19 December 2020 - 19 December 2020, http://dx.doi.org/10.1109/MSN50589.2020.00045

Schiliro F; Moustafa N; Beheshti A, 2020, 'Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things', Fiji- Virtual Conference, presented at IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Fiji- Virtual Conference, 14 December 2020 - 16 December 2020

Hassanin M; Moustafa N; Tahtali M, 2020, 'A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models', Canberra, Australia, presented at The 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 04 December 2020

Moustafa N; Jolfaei A, 2020, 'Autonomous detection of malicious events using machine learning models in drone networks', in DroneCom 2020 - Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, pp. 61 - 66, http://dx.doi.org/10.1145/3414045.3415951

Alkadi O; Moustafa N; Turnbull B, 2020, 'A Collaborative Intrusion Detection System using Deep Blockchain Framework for Securing Cloud Networks', 2020 Amsterdam, Netherlands, presented at Intelligent Systems Conference (IntelliSys), 2020 Amsterdam, Netherlands, 03 September 2020 - 04 September 2020

schiliro F; Beheshti A; Moustafa N, 2020, 'A Novel Cognitive Computing Technique using Convolutional Networks for Automating the Criminal Investigation Process in Policing', Amsterdam, Netherlands, presented at Intelligent Systems Conference (IntelliSys), Amsterdam, Netherlands, 03 September 2020 - 04 March 2020

Debie E; Moustafa N; Whitty M, 2020, 'A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals', in IEEE World Congress on Computaional Intelligence (IEEE WCCI), 2020, IEEE, Glasgow, United kingdom, presented at IEEE World Congress on Computaional Intelligence (IEEE WCCI), 2020, Glasgow, United kingdom, 19 July 2020 - 24 July 2020

Wu P; Guo H; Moustafa N, 2020, 'Pelican: A Deep Residual Network for Network Intrusion Detection', in Proceedings - 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2020, pp. 55 - 62, http://dx.doi.org/10.1109/DSN-W50199.2020.00018

Koroniotis N; Moustafa N, 2020, 'Enhancing Network Forensics with Particle Swarm and Deep Learning: The Particle Deep Framework', Sydney, Australia, presented at 7th International Conference on Security and its Applications (CNSA 2020), Sydney, Australia, 28 March 2020 - 29 March 2020

Turnbull B; Ormrod D; Moustafa N; Micallef N, 2019, 'Agile technology development to improve scenario-based learning exercises', in European Conference on Information Warfare and Security, ECCWS, Portugal, pp. 518 - 526, presented at ECCWS, Portugal, 04 July 2019 - 05 July 2019

Moustafa N; Turnbull B; Choo K-KR, 2018, 'Towards Automation of Vulnerability and Exploitation Identification in IIoT Networks', Bellevue, Washington, USA, presented at 2018 IEEE International Conference on Industrial Internet, Bellevue, Washington, USA, 21 October 2018 - 23 October 2018, http://dx.doi.org/10.1109/ICII.2018.00023

Monks K; Sitnikova E; Moustafa N, 2018, 'Cyber intrusion detection in operations of bulk handling ports', in Josang A (ed.), European Conference on Information Warfare and Security, ECCWS, Academic Conferences and Publishing International Limited, Oslo, Norway, pp. 307 - 316, presented at 17th European Conference on Cyber Warfare and Security ECCWS 2018, Oslo, Norway, 28 June 2018 - 29 June 2018

Wilson SW; Moustafa N; Sitnikova E, 2018, 'A Digital Identity Stack to Improve Privacy in the IoT', in IEEE 4th World Forum on Internet of Things, IEEE, Singapore, pp. 25 - 29, presented at IEEE 4th World Forum on Internet of Things, Singapore, 05 February 2018 - 08 February 2018, http://dx.doi.org/10.1109/wf-iot.2018.8355199

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