Researcher

Dr Nour Moustafa Abdelhameed Moustafa

My Expertise

  • 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 

Fields of Research (FoR)

Computer System Security, Networking and Communications, Applied Statistics, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining

Biography

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...view more

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:  

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Location

Building 15, room 108

Contact

M: +61 416 817 811

Research Activities

 

The TON_IoT datasets are new generations of Industry 4.0/Internet of Things (IoT) and Industrial IoT (IIoT) datasets for evaluating the fidelity and efficiency of different cybersecurity applications based on Artificial Intelligence (AI), i.e., Machine/Deep Learning algorithms. The datasets can be downloaded from HERE.  You can also use our datasets: the BoT-IoT and…

 

The UNSW-NB15 source files (pcap files, BRO files, Argus Files, CSV files and the reports) can be downloaded from HEREYou can also use our new datasets created the TON_IoT and BoT-IoT.

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The…

 

 The BoT-IoT dataset can be downloaded from HERE. You can also use our new datasets: the TON_IoT and UNSW-NB15.

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The BoT-IoT dataset was created by designing a realistic network environment in the Cyber Range Lab of UNSW Canberra. The network …