Nour Moustafa
Nour Moustafa
Academic Lead in Cyber Security & Computing, ARC DECRA Fellow, Spitfire Defence Fellow
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Cited by
Cited by
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
N Moustafa, J Slay
Military Communications and Information Systems Conference (MilCIS), 2015
Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset
N Koroniotis, N Moustafa, E Sitnikova, B Turnbull
Future Generation Computer Systems, 2019
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set
N Moustafa, J Slay
Information Security Journal A Global Perspective, 2016
An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things
N Moustafa, B Turnbull, KKR Choo
IEEE Internet of Things Journal, 2018
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems
A Alsaedi, N Moustafa, Z Tari, A Mahmood, A Anwar
IEEE Access, 2020
Identification of malicious activities in industrial internet of things based on deep learning models
ALH Muna, N Moustafa, E Sitnikova
Journal of information security and applications 41, 1-11, 2018
A Deep Blockchain Framework-enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks
O Alkadi, N Moustafa, B Turnbull, KKR Choo
IEEE Internet of Things Journal, 2020
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
N Moustafa, J Hu, J Slay
Journal of Network and Computer Applications, 2019
A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets
N Moustafa
Sustainable Cities and Society, 102994, 2021
The significant features of the UNSW-NB15 and the KDD99 data sets for network intrusion detection systems
N Moustafa, J Slay
2015 4th international workshop on building analysis datasets and gathering …, 2015
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
M Sarhan, S Layeghy, N Moustafa, M Portmann
BDTA 2020 Conference, WiCON 2020: Big Data Technologies and Applications, 2021
Novel Geometric Area Analysis Technique for Anomaly Detection using Trapezoidal Area Estimation on Large-scale Networks
N Moustafa, J Slay, G Creech
IEEE Transactions on Big Data, 1-14, 2017
A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things:Challenges, Solutions and Future Directions
J Ashraf, N Moustafa, H Khurshid, E Debie, W Haider, A Wahab
Electronics Journal, 2020
ToN_IoT: The role of heterogeneity and the need for standardization of features and attack types in IoT network intrusion data sets
TM Booij, I Chiscop, E Meeuwissen, N Moustafa, FTH Den Hartog
IEEE Internet of Things Journal 9 (1), 485-496, 2021
Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models
N Moustafa, G Creech, J Slay
Data Analytics and Decision Support for Cybersecurity 1, 127-156, 2017
A New Network Forensic Framework based on Deep Learning for Internet of Things Networks: A Particle Deep Framework
N Koroniotis, N Moustafa, E Sitnikova
Future Generation Computer Systems, 2020
Novel Deep Learning-enabled LSTM Autoencoder Architecture for Discovering Anomalous Events from Intelligent Transportation Systems
J Ashraf, A Bakhshi, N Moustafa, H Khurshid, A Javed, A Beheshti
IEEE Transactions on Intelligent Transportation Systems, 2020
Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques
N Koroniotis, N Moustafa, E Sitnikova, J Slay
Mobile Networks and Management: 9th International Conference, MONAMI 2017 …, 2018
A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
N Moustafa, E Adi, B Turnbull, J Hu
IEEE Access, 2018
An integrated framework for privacy-preserving based anomaly detection for cyber-physical systems
M Keshk, E Sitnikova, N Moustafa, J Hu, I Khalil
IEEE Transactions on Sustainable Computing 6 (1), 66-79, 2019
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