Dr Nour Moustafa is an ARC DECRA Fellow & Leader of the Intelligent Security Group at the School of Systems & Computing (SysCom), University of New South Wales (UNSW)'s UNSW Canberra, Australia. He was a Postdoctoral Fellow in Cyber Security at UNSW Canberra from June 2017 until 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 for 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 been awarded the 2020  prestigious Australian Spitfire Memorial Defence Fellowship. He is also an ACM Distinguished Speaker and an IEEE Senior Member. He has published more than 75 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. 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: Ad Hoc Networks, IEEE Access, and 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 the 2020 IEEE TrustCom and 2020 32nd Australasian Joint Conference on Artificial Intelligence.   

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

• The TON_IoT data set, 2020.
• The Bot-IoT data set, 2019.
• The UNSW-NB15 data set, 2015.