Dr Nour Moustafa

Master of Cyber Security Programs Coordinator
School of Engineering and Information Technology
UNSW Canberra Cyber

LOCATION

Building 15, room 108

  • ABOUT
  • PUBLICATIONS

Dr. Nour Moustafa is Postgraduate Discipline Coordinator (Cyber) and Lecturer in Cyber Security at the School of Engineering and Information Technology (SEIT), University of New South Wales (UNSW)'s UNSW Canberra Australia. He was a Postdoctoral Fellow in Cybersecurity at UNSW Canberra from June 2017 till February 2019. He received his PhD degree in the field of Cyber Security from UNSW in 2017. He obtained his Bachelor’s and master’s degrees in Information Systems in 2009 and 2014, respectively, from the Faculty of Computer and Information, Helwan University, Egypt. His areas of interest include Cyber Security, in particular, Network Security, host- and network- intrusion detection systems, statistics, deep learning, and machine learning techniques. He is interested in designing and developing threat detection and forensic mechanisms to the Industry 4.0 technology for identifying malicious activities from cloud computing, fog computing, IoT and industrial control systems over virtual machines and physical systems. 

He established a new theme, the so-called Intelligent Security, at UNSW Canberra Cyber which focuses on developing novel artificial intelligence models for protecting smart systems against cyber threat attacks in 2019. He has several research grants with totalling over AUD 800,000$. He has been awarded the 2020  prestigious Australian Spitfire Memorial Defence Fellowship award. He is also a Senior IEEE Member, ACM member, and CSCRC Fellowship. He has published more than 40 research outputs between 2014 and 2020 in top-tier computing and security journals and conferences, such as IEEE Transactions on forensics and Security, IEEE IoT, and IEEE Transactions on Industrial Informatics. He has served his academic community, as the guest associate editor of IEEE transactions journals, including IEEE Transactions on Industrial Informatics, IEEE IoT Journal, as well as the journals of IEEE Access, Future Internet and Information Security Journal: A Global Perspective.  He has also served over seven conferences in leadership roles, involving vice-chair, session chair, Technical Program Committee (TPC) member and proceedings chair, including 2020IEEE TrustCom and 2020 32nd Australasian Joint Conference on Artificial Intelligence.   

His data sets for evalauting Cyber applications-based machine learning:  

Book Chapters

Moustafa N; Slay J, 2018, 'A Network Forensic Scheme Using Correntropy-Variation for Attack Detection', in Advances in Digital Forensics XIV, Springer, Cham, IFIP International Federation for Information Processing 2018, pp. 225 - 239, http://dx.doi.org/10.1007/978-3-319-99277-8_13

Moustafa NM; hu J, 2018, 'Security and Privacy in 4G/LTE Network', in Encyclopedia of Wireless Networks, Springer, Cham, http://dx.doi.org/10.1007/978-3-319-32903-1_119-1

Moustafa NM; Creech G; Slay J, 2017, 'Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models', in Carrascosa IP; Kalutarage HK; Huang Y (ed.), Data Analytics and Decision Support for Cybersecurity, Springer, Cham, pp. 127 - 156, http://dx.doi.org/10.1007/978-3-319-59439-2_5

Journal articles

Haider W; Moustafa N; Keshk M; Fernandez A; Choo KKR; Wahab A, 2020, 'FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems', Computers and Security, vol. 96, pp. 101906 - 101906, http://dx.doi.org/10.1016/j.cose.2020.101906

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, vol. 16, pp. 5110 - 5118, http://dx.doi.org/10.1109/TII.2019.2957140

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, vol. 8, pp. 104893 - 104917, http://dx.doi.org/10.1109/ACCESS.2020.2999715

Alkadi O; Moustafa N; Turnbull B; Choo K-KR, 2020, 'A Deep Blockchain Framework-enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks', IEEE Internet of Things Journal, pp. 1 - 1, http://dx.doi.org/10.1109/jiot.2020.2996590

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; Hu J; Slay J, 2019, 'A holistic review of Network Anomaly Detection Systems: A comprehensive survey', Journal of Network and Computer Applications, vol. 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

Alkadi O; Moustafa N; Turnbull B; Choo K-KR, 2019, 'Mixture Localization-Based Outliers Models for securing Data Migration in Cloud Centers', IEEE ACCESS, vol. 7, pp. 114607 - 114618, http://dx.doi.org/10.1109/ACCESS.2019.2935142

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

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, vol. 7, pp. 61764 - 61785, http://dx.doi.org/10.1109/ACCESS.2019.2916717

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, vol. 6, pp. 32910 - 32924, 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, vol. 41, pp. 1 - 11, http://dx.doi.org/10.1016/j.jisa.2018.05.002

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, http://dx.doi.org/10.1109/TSUSC.2018.2808430

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, vol. 25, pp. 18 - 31, http://dx.doi.org/10.1080/19393555.2015.1125974

Moustafa N, 'A Systemic IoT-Fog-Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing',

Moustafa N; Slay J, '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

Conference Papers

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

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

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

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', in Proceedings - 2018 IEEE International Conference on Industrial Internet, ICII 2018, 2018 IEEE International Conference on Industrial Internet, Bellevue, Washington, USA, pp. 139 - 145, 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

Haider WH; Hu JH; Moustafa N, 2018, 'Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and Machine Learning', in 9th International Conference, MONAMI 2017, Springer International Publishing, Melbourne, pp. 137 - 149, presented at Nour Moustafa, Melbourne, 13 December 2017 - 15 December 2017, http://dx.doi.org/10.1007/978-3-319-90775-8_12

Moustafa NM; Creech GC; Slay JS, 2017, 'Flow Aggregator Module for Analysing Network Traffic', in Das HD (ed.), International Conference on Computing Analytics and Networking (ICCAN 2017), School of Computer Engineering, KIIT University, pp. 19 - 29, presented at International Conference on Computing Analytics and Networking (ICCAN 2017), School of Computer Engineering, KIIT University, 15 December 2017 - 16 July 2017, http://dx.doi.org/10.1007/978-981-10-7871-2_3

Moustafa NM; Creech GC; SLAY JS, 2017, 'Anomaly Detection System using Beta Mixture Models and Outlier Detection', in Das HD (ed.), Advances in Intelligent Systems and Computing, School of Computer Engineering, KIIT University, pp. 125 - 135, presented at The International Conference on Computing Analytics and Networking (ICCAN 2017), School of Computer Engineering, KIIT University, 15 December 2017 - 16 July 2017, http://dx.doi.org/10.1007/978-981-10-7871-2_13

Marsden T; Moustafa N; Sitnikova E; Creech G, 2017, 'Probability Risk Identification Based Intrusion Detection System for SCADA Systems', in Mobile Networks and Management, Springer International Publishing, Melbourne, Australia, pp. 353 - 363, presented at 9th International Conference, MONAMI 2017, Melbourne, Australia, 13 December 2017 - 15 December 2017, http://dx.doi.org/10.1007/978-3-319-90775-8_28

Koroniotis N; Moustafa N; Sitnikova E; Slay J, 2017, 'Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques', in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer International Publishing, Melbourne, Australia, pp. 30 - 44, presented at 9th International Conference, MONAMI 2017, Melbourne, Australia, 13 December 2017 - 15 December 2017, http://dx.doi.org/10.1007/978-3-319-90775-8_3

Hassan MM; Moustafa N; Sitnikova E; Creech G, 2017, 'Privacy Preservation Intrusion Detection Technique for SCADA Systems', in 2017 Military Communications and Information Systems Conference, MilCIS 2017 - Proceedings, Canberra, pp. 1 - 6, presented at MilCIS 2017 IEEE Stream, Canberra, 14 November 2017 - 16 November 2017, http://dx.doi.org/10.1109/MilCIS.2017.8190422

Moustafa N; Creech G; Sitnikova E; Hassan M, 2017, 'Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing', in 2017 Military Communications and Information Systems Conference, MilCIS 2017 - Proceedings, Canberra, Australia, pp. 1 - 6, presented at Military Communications and Information Systems Conference (MilCIS), Canberra, Australia, 13 November 2017 - 14 November 2017, http://dx.doi.org/10.1109/MilCIS.2017.8190421

Moustafa N; Slay J, 2015, 'UNSW-NB15: A comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)', in 2015 Military Communications and Information Systems Conference, MilCIS 2015 - Proceedings, http://dx.doi.org/10.1109/MilCIS.2015.7348942

Moustafa N; Slay J, 2015, 'A hybrid feature selection for network intrusion detection systems: Central points', in Security Research Institute, Edith Cowan University, the 16th Australian Information Warfare Conference, Edith Cowan University, Joondalup Campus, Perth, Western Australia., presented at the 16th Australian Information Warfare Conference, Edith Cowan University, Joondalup Campus, Perth, Western Australia., 30 November 2015 - 02 December 2015, http://dx.doi.org/10.4225/75/57a84d4fbefbb

Moustafa N; Slay J, 2015, 'The significant features of the UNSW-NB15 and the KDD99 data sets for Network Intrusion Detection Systems', in Proceedings - 2015 4th International Workshop on Building Analysis Datasets and Gathering Experience Returns for Security, BADGERS 2015, Kyoto, Japan, pp. 25 - 31, presented at 2015 4th International Workshop on Building Analysis Datasets and Gathering Experience Returns for Security (BADGERS), Kyoto, Japan, 05 November 2015 - 05 November 2015, http://dx.doi.org/10.1109/BADGERS.2015.14

Moustafa NM; Slay J, 2015, 'The significant features of the UNSW-NB15 andthe KDD99 Data sets for Network IntrusionDetection Systems', in The significant features of the UNSW-NB15 andthe KDD99 Data sets for Network IntrusionDetection Systems, IEEE, Kyoto, Japan, presented at The 4th International Workshop on Building Analysis Datasets and Gathering Experience Returns for Security (BADGERS 2015), collocated with RAID2015, Kyoto, Japan, 05 November 2015 - 05 November 2015, http://dx.doi.org/10.13140/RG.2.1.2264.4883

Moustafa N; Slay J, 2015, 'Creating novel features to anomaly network Detection using DARPA-2009 data set', in European Conference on Information Warfare and Security, ECCWS, pp. 204 - 212

Theses / Dissertations

Moustafa NM, 2017, Designing an online and reliable statistical anomaly detection framework for dealing with large high-speed network traffic, http://handle.unsw.edu.au/1959.4/58748