Nour Moustafa

Master of Cyber Security Programs Coordinator
Senior Lecturer

Dr Nour Moustafa is Postgraduate Discipline Coordinator (Cyber) and Senior Lecturer in Cyber Security & Computing 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 Cyber Security 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 leads the Intelligent Security Theme at UNSW Canberra Cyber which focuses on developing novel artificial intelligence models for protecting smart systems against cyber threat attacks. He has successfully led 8 research grants  with a research income of over $1.6 million. He has been awarded the 2020  prestigious Australian Spitfire Memorial Defence Fellowship award. He is also an ACM Distiguished Speaker and IEEE Senior member. He has published more than 70 research outputs 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, with over 2000 citations, 18 h-index and 25 i-index (Google Scholar). 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 Ad Hoc networks, 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:  

Preprints
add
Sarhan M; Layeghy S; Moustafa N; Gallagher M; Portmann M, 2021, Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
2021
Yang S; Guo H; Moustafa N, 2021, Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
2021
Oseni A; Moustafa N; Janicke H; Liu P; Tari Z; Vasilakos A, 2021, Security and Privacy for Artificial Intelligence: Opportunities and Challenges
2021
Sarhan M; Layeghy S; Moustafa N; Portmann M, 2020, NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
2020
Hassanin M; Radwan I; Moustafa N; Tahtali M; Kumar N, 2020, Mitigating the Impact of Adversarial Attacks in Very Deep Networks
2020
Wu P; Guo H; Moustafa N, 2020, Pelican: A Deep Residual Network for Network Intrusion Detection
2020
Hassanin M; Moustafa N; Tahtali M, 2020, A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
2020
Moustafa N; Keshk M; Debie E; Janicke H, 2020, Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications
2020
Koroniotis N; Moustafa N; Sitnikova E; Turnbull B, 2018, Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
2018
Moustafa N; Creech G; Sitnikova E; Keshk M, 2017, Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing
2017
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
2017
Moustafa N; Slay J, 2017, RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis
2017
Marsden T; Moustafa N; Sitnikova E; Creech G, 2017, Probability Risk Identification Based Intrusion Detection System for SCADA Systems
2017
Keshk M; Moustafa N; Sitnikova E; Creech G, 2017, Privacy Preservation Intrusion Detection Technique for SCADA Systems
2017
Moustafa N; Slay J, 2017, A hybrid feature selection for network intrusion detection systems: Central points
2017
Books
add
Gallagher M; Moustafa N; Lakshika E, 2020, Preface
2020
Book Chapters
add
Moustafa N; Hu J, 2020, 'Security and Privacy in 4G/LTE Network', in Encyclopedia of Wireless Networks, Springer International Publishing, pp. 1265 - 1271, http://dx.doi.org/10.1007/978-3-319-78262-1_119
2020
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
2018
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
2018
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
2017
Conference Papers
add
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
2021
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
2020
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
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, ACM, pp. 61 - 66, presented at MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, http://dx.doi.org/10.1145/3414045.3415951
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, IEEE, pp. 55 - 62, presented at 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 29 June 2020 - 02 July 2020, http://dx.doi.org/10.1109/DSN-W50199.2020.00018
2020
Wu P; Moustafa N; Yang S; Guo H, 2020, 'Densely Connected Residual Network for Attack Recognition', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020
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
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
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
2020
Yamany W; Moustafa N; Turnbull B, 2020, 'A Tri-level Programming Framework for Modelling Attacks and Defences in Cyber-Physical Systems', Canberra, Australia, presented at The 33rd Australasian Joint Conference on Artificial Intelligence (AJCAI 2020), Canberra, Australia, 16 December 2020
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
2020
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
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
2020
Moustafa N; Hassan M; Debie E; Janicke H, 2020, 'Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020
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
2020
Moustafa N; Ahmed M; Ahmed S, 2020, 'Data Analytics-enabled Intrusion Detection: Evaluations of Linux ToN_IoT Datasets', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020
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
2019
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
2018
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
2018
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
2018
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
2017
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
2017
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
2017
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
2017
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
2017
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
2017
Haider WH; Hu JH; Moustafa N, 2017, '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
2017
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
2015
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
2015
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
2015
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
2015
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
2015
Conference Proceedings (Editor of)
add
Gallagher M; Moustafa N; Lakshika E, (eds.), 2020, 'AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings', Springer, Vol. 12576
2020
Journal articles
add
Ashraf J; Bakhshi AD; Moustafa N; Khurshid H; Javed A; Beheshti A, 2021, 'Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events from Intelligent Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, vol. 22, pp. 4507 - 4518, http://dx.doi.org/10.1109/TITS.2020.3017882
2021
Alkadi O; Moustafa N; Turnbull B; Choo KKR, 2021, 'A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks', IEEE Internet of Things Journal, vol. 8, pp. 9463 - 9472, http://dx.doi.org/10.1109/JIOT.2020.2996590
2021
Booij TM; Chiscop I; Meeuwissen E; Moustafa N; den Hartog FTH, 2021, 'ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Datasets', IEEE Internet of Things Journal, pp. 1 - 1, http://dx.doi.org/10.1109/JIOT.2021.3085194
2021
Ashraf J; Keshk M; Moustafa N; Abdel-Basset M; Khurshid H; Bakhshi AD; Mostafa RR, 2021, 'IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities', Sustainable Cities and Society, vol. 72, pp. 103041 - 103041, http://dx.doi.org/10.1016/j.scs.2021.103041
2021
Moustafa N, 2021, 'A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets', Sustainable Cities and Society, vol. 72, pp. 102994 - 102994, http://dx.doi.org/10.1016/j.scs.2021.102994
2021
Bugshan N; Khalil I; Moustafa N; Rahman MS, 2021, 'Privacy-Preserving Microservices in Industrial Internet of Things Driven Smart Applications', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2021.3098980
2021
Gamal M; Abbas HM; Moustafa N; Sitnikova E; Sadek RA, 2021, 'Few-Shot Learning for Discovering Anomalous Behaviors in Edge Networks', Computers, Materials and Continua, vol. 69, pp. 1823 - 1837, http://dx.doi.org/10.32604/cmc.2021.012877
2021
Samarasinghe D; Barlow M; Lakshika E; Lynar T; Moustafa N; Townsend T; Turnbull B, 2021, 'A Data Driven Review of Board Game Design and Interactions of Their Mechanics', IEEE Access, vol. 9, pp. 114051 - 114069, http://dx.doi.org/10.1109/ACCESS.2021.3103198
2021
Modini J; Lynar T; Moustafa N; Sitnikova E; Joiner K, 2021, 'The Application of Epidemiology for Categorising DNS Cyber Risk Factors (submitted)', International Journal of Computers and Communications
2021
Rahman MS; Khalil I; Moustafa N; Kalapaaking AP; Bouras A, 2021, 'A Blockchain-enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/TII.2021.3105527
2021
Khan IA; Moustafa N; Pi D; Haider W; Li B; Jolfaei A, 2021, 'An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2021.3105834
2021
Koroniotis N; Moustafa N; Schiliro F; Gauravaram P; Janicke H, 2021, 'The SAir-IIoT Cyber Testbed as a Service: A Novel Cybertwins Architecture in IIoT-Based Smart Airports', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 14, http://dx.doi.org/10.1109/tits.2021.3106378
2021
Chaudhry SA; Irshad A; Nebhen J; Bashir AK; Moustafa N; Al-Otaibi YD; Zikria YB, 2021, 'An anonymous device to device access control based on secure certificate for internet of medical things systems: An anonymous D2D access control scheme for IoMT', Sustainable Cities and Society, vol. 75, pp. 103322 - 103322, http://dx.doi.org/10.1016/j.scs.2021.103322
2021
Moustafa N; Hassan M; Choo K-KR; Lynar T; Camtepe S; Whitty M, 2021, 'DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks', Future Generation Computer Systems, http://dx.doi.org/10.1016/j.future.2021.01.011
2021
Ahmed Khan I; Nour Moustafa D; Pi D; Hussain Y; Khan NA, 2021, 'DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2021.3108811
2021
Debie E; Moustafa N; Vasilakos A, 2021, 'Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network', IEEE Transactions on Dependable and Secure Computing, pp. 1 - 1, http://dx.doi.org/10.1109/TDSC.2021.3060775
2021
Hassanin M; Radwan I; Moustafa N; Tahtali M; Kumar N, 2021, 'Mitigating the impact of adversarial attacks in very deep networks', Applied Soft Computing, vol. 105, http://dx.doi.org/10.1016/j.asoc.2021.107231
2021
Al-Hawawreh M; Moustafa N; Slay J, 2021, 'A threat intelligence framework for protecting smart satellite-based healthcare networks', Neural Computing and Applications, pp. 1 - 21, http://dx.doi.org/10.1007/s00521-021-06441-5
2021
Keshk M; Turnbull B; Sitnikova E; Vatsalan D; Moustafa N, 2021, 'Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems', IEEE Access, vol. 9, pp. 55077 - 55097, http://dx.doi.org/10.1109/ACCESS.2021.3069737
2021
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
2020
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
2020
Ali I; Sallam K; Moustafa N; Chakrabortty R; Ryan M; Choo K-KR, 2020, 'An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems', IEEE Transactions on Cloud Computing, http://dx.doi.org/10.1109/TCC.2020.3032386
2020
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
2020
Al-Hawawreh M; Moustafa N; Garg S; Hossain S, 2020, 'Deep Learning-enabled Threat Intelligence Scheme in the Internet of Things Networks', IEEE Transactions on Network Science and Engineering
2020
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), vol. 12, pp. 6434 - 6434, http://dx.doi.org/10.3390/SU12166434
2020
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), vol. 9, pp. 1177 - 1177, http://dx.doi.org/10.3390/electronics9071177
2020
Sobb T; Turnbull B; Moustafa N, 2020, 'Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions', Electronics (Switzerland)
2020
Pratim Ray P; Dash D; Moustafa N, 2020, 'Streaming service provisioning in IoT-based healthcare: An integrated edge-cloud perspective', Transactions on Emerging Telecommunications Technologies, vol. 31, http://dx.doi.org/10.1002/ett.4109
2020
Koroniotis N; Moustafa N; Schiliro F; Gauravaram P; Janicke H, 2020, 'A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports', IEEE Access
2020
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, vol. 8, pp. 165130 - 165150, http://dx.doi.org/10.1109/ACCESS.2020.3022862
2020
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
2020
Alkadi O; Moustafa N; Turnbull B; Choo KKR, 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
2019
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
2019
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
2019
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
2019
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
2019
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
2019
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
2019
Radwan I; Moustafa N; Keating B; Choo KKR; 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
2019
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
2019
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
2018
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
2018
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
2018
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
2018
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
2018
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
2018
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
2017
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
2017
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
2016
Theses / Dissertations
add
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
2017
Working Papers
add
AKL AMM; Sallam K; Chakrabortty R; Moustafa N; Ryan M; Raymond K-K, 2021, A Novel Multi-level Optimization Framework forEnhancing Cyber-Physical Defenses in Smart PowerSystems, http://dx.doi.org
2021
  • Cyber Applications:  Intrusion Detection, Threat Intelligence, Privacy Preservation, Digital Forensics, Cyber Resilience 

  • Methodologies: Statistics, Machine/Deep Learning, AI Planning
  • EnvironmentsNetwork systems, IoT, Industrial IoT (IIoT),  Edge & Cloud 
Organisational units
lensSchool of Engineering & Information Technology
lensUNSW Institute for Cyber Security
Sub Theme
lensIntelligent Security
lensCyber-Physical Systems