The Significant Features of the UNSW-NB15 and the KDD99 Data Sets for Network Intrusion Detection Systems. - Nour Moustafa; Jill Slay (BADGERS@RAID, 2015)

UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set). - Nour Moustafa; Jill Slay (MilCIS, 2015)

The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set. - Nour Moustafa; Jill Slay (Inf. Secur. J. A Glob. Perspect., 2016)

Privacy preservation intrusion detection technique for SCADA systems. - Marwa Keshk; Nour Moustafa; Elena Sitnikova; Gideon Creech (MilCIS, 2017)

Collaborative anomaly detection framework for handling big data of cloud computing. - Nour Moustafa; Gideon Creech; Elena Sitnikova; Marwa Keshk (MilCIS, 2017)

Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and Machine Learning. - Waqas Haider; Jiankun Hu; Nour Moustafa (MONAMI, 2017)

Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques. - Nickolaos Koroniotis; Nour Moustafa; Elena Sitnikova; Jill Slay (MONAMI, 2017)

Probability Risk Identification Based Intrusion Detection System for SCADA Systems. - Thomas Marsden; Nour Moustafa; Elena Sitnikova; Gideon Creech (MONAMI, 2017)

A hybrid feature selection for network intrusion detection systems: Central points. - Nour Moustafa; Jill Slay (CoRR, 2017)

RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis. - Nour Moustafa; Jill Slay (CoRR, 2017)

Designing an online and reliable statistical anomaly detection framework for dealing with large high-speed network traffic. - Nour Moustafa (2017)

Towards Automation of Vulnerability and Exploitation Identification in IIoT Networks. - Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (ICII, 2018)

A Network Forensic Scheme Using Correntropy-Variation for Attack Detection. - Nour Moustafa; Jill Slay (IFIP Int. Conf. Digital Forensics, 2018)

A digital identity stack to improve privacy in the IoT. - Stephen Wilson; Nour Moustafa; Elena Sitnikova (WF-IoT, 2018)

A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems. - Nour Moustafa; Erwin Adi; Benjamin P. Turnbull; Jiankun Hu (IEEE Access, 2018)

Identification of malicious activities in industrial internet of things based on deep learning models. - Muna Al-Hawawreh; Nour Moustafa; Elena Sitnikova (J. Inf. Secur. Appl., 2018)

Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals. - Min Wang 009; Sherif M. Abdelfattah; Nour Moustafa; Jiankun Hu (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Mixture Localization-Based Outliers Models for securing Data Migration in Cloud Centers. - Osama Al-Kadi; Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (IEEE Access, 2019)

Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions. - Nickolaos Koroniotis; Nour Moustafa; Elena Sitnikova (IEEE Access, 2019)

Hierarchical Adversarial Network for Human Pose Estimation. - Ibrahim Radwan; Nour Moustafa; Byron W. Keating; Kim-Kwang Raymond Choo; Roland Goecke (IEEE Access, 2019)

A Systemic IoT-Fog-Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing. - Nour Moustafa (CoRR, 2019)

Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset. - Nickolaos Koroniotis; Nour Moustafa; Elena Sitnikova; Benjamin P. Turnbull (Future Gener. Comput. Syst., 2019)

An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things. - Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2019)

A holistic review of Network Anomaly Detection Systems: A comprehensive survey. - Nour Moustafa; Jiankun Hu; Jill Slay (J. Netw. Comput. Appl., 2019)

Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks. - Nour Moustafa; Jill Slay; Gideon Creech (IEEE Trans. Big Data, 2019)

Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog. - Nour Moustafa; Kim-Kwang Raymond Choo; Ibrahim Radwan; Seyit Camtepe (IEEE Trans. Inf. Forensics Secur., 2019)

The Bot-IoT dataset. - Nour Moustafa (IEEE DataPort, 2019)

UNSW_NB15 dataset. - Nour Moustafa (IEEE DataPort, 2019)

A Tri-level Programming Framework for Modelling Attacks and Defences in Cyber-Physical Systems. - Waleed Yamany; Nour Moustafa; Benjamin P. Turnbull (Australasian Conference on Artificial Intelligence, 2020)

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things. - Francesco Schiliro; Nour Moustafa; Amin Beheshti (DependSys, 2020)

Pelican: A Deep Residual Network for Network Intrusion Detection. - Peilun Wu; Hui Guo; Nour Moustafa (DSN Workshops, 2020)

A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals. - Essam Soliman Debie; Nour Moustafa; Monica T. Whitty (IJCNN, 2020)

A Collaborative Intrusion Detection System Using Deep Blockchain Framework for Securing Cloud Networks. - Osama Al-Kadi; Nour Moustafa; Benjamin P. Turnbull (IntelliSys (1), 2020)

A Novel Cognitive Computing Technique Using Convolutional Networks for Automating the Criminal Investigation Process in Policing. - Francesco Schiliro; Amin Beheshti; Nour Moustafa (IntelliSys (1), 2020)

Autonomous detection of malicious events using machine learning models in drone networks. - Nour Moustafa; Alireza Jolfaei (DroneCom@MobiCom, 2020)

Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems. - Marwa Keshk; Nour Moustafa; Elena Sitnikova; Benjamin P. Turnbull; Dinusha Vatsalan (MSN, 2020)

A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. - Mohammed Hassanin; Nour Moustafa; Murat Tahtali (SSCI, 2020)

Data Analytics-enabled Intrusion Detection: Evaluations of ToN IoT Linux Datasets. - Nour Moustafa; Mohiuddin Ahmed; Sherif Ahmed (TrustCom, 2020)

Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications. - Nour Moustafa; Marwa Keshk; Essam Soliman Debie; Helge Janicke (TrustCom, 2020)

Privacy-Encoding Models for Preserving Utility of Machine Learning Algorithms in Social Media. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull (TrustCom, 2020)

Densely Connected Residual Network for Attack Recognition. - Peilun Wu; Nour Moustafa; Shiyi Yang 001; Hui Guo (TrustCom, 2020)

NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (BDTA/WiCON, 2020)

A Review of Intrusion Detection and Blockchain Applications in the Cloud: Approaches, Challenges and Solutions. - Osama Al-Kadi; Nour Moustafa; Benjamin P. Turnbull (IEEE Access, 2020)

TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems. - Abdullah Alsaedi; Nour Moustafa; Zahir Tari; Abdun Naser Mahmood; Adnan Anwar (IEEE Access, 2020)

A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports. - Nickolaos Koroniotis; Nour Moustafa; Francesco Schiliro; Praveen Gauravaram; Helge Janicke (IEEE Access, 2020)

FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. - Waqas Haider; Nour Moustafa; Marwa Keshk; Amanda S. Fernandez; Kim-Kwang Raymond Choo; Abdul Wahab (Comput. Secur., 2020)

Enhancing network forensics with particle swarm and deep learning: The particle deep framework. - Nickolaos Koroniotis; Nour Moustafa (CoRR, 2020)

Data Analytics-enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets. - Nour Moustafa; Mohiuddin Ahmed; Sherif Ahmed (CoRR, 2020)

Streaming service provisioning in IoT-based healthcare: An integrated edge-cloud perspective. - Partha Pratim Ray; Dinesh Dash; Nour Moustafa (Trans. Emerg. Telecommun. Technol., 2020)

A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework. - Nickolaos Koroniotis; Nour Moustafa; Elena Sitnikova (Future Gener. Comput. Syst., 2020)

An Ontological Graph Identification Method for Improving Localization of IP Prefix Hijacking in Network Systems. - Osama Al-Kadi; Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2020)

A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks. - Marwa Keshk; Benjamin P. Turnbull; Nour Moustafa; Dinusha Vatsalan; Kim-Kwang Raymond Choo (IEEE Trans. Ind. Informatics, 2020)

Intrusion Detection System for SDN-enabled IoT Networks using Machine Learning Techniques. - Javed Ashraf; Nour Moustafa; Asim D. Bakhshi; Abdullah Javed (EDOC Workshops, 2021)

Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network. - Shiyi Yang 001; Hui Guo; Nour Moustafa (QRS, 2021)

A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments. - Nickolaos Koroniotis; Nour Moustafa; Benjamin P. Turnbull; Francesco Schiliro; Praveen Gauravaram; Helge Janicke (TrustCom, 2021)

A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles. - Mohamed Abdel-Basset; Abduallah Gamal; Nour Moustafa; Ahmed Abdel-Monem; Nissreen A. S. El-Saber (IEEE Access, 2021)

Multi-Objective Task Scheduling Approach for Fog Computing. - Mohamed Abdel-Basset; Nour Moustafa; Reda Mohamed; Osama M. Elkomy; Mohamed Abouhawwash (IEEE Access, 2021)

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems. - Marwa Keshk; Benjamin P. Turnbull; Elena Sitnikova; Dinusha Vatsalan; Nour Moustafa (IEEE Access, 2021)

A Data Driven Review of Board Game Design and Interactions of Their Mechanics. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Timothy M. Lynar; Nour Moustafa; Thomas Townsend; Benjamin P. Turnbull (IEEE Access, 2021)

Mitigating the impact of adversarial attacks in very deep networks. - Mohammed Hassanin; Ibrahim Radwan; Nour Moustafa; Murat Tahtali; Neeraj Kumar 001 (Appl. Soft Comput., 2021)

Towards a Standard Feature Set of NIDS Datasets. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (CoRR, 2021)

Security and Privacy for Artificial Intelligence: Opportunities and Challenges. - Ayodeji Oseni; Nour Moustafa; Helge Janicke; Peng Liu 005; Zahir Tari; Athanasios V. Vasilakos (CoRR, 2021)

Hunter in the Dark: Discover Anomalous Network Activities Using Deep Ensemble Networks. - Shiyi Yang 001; Peilun Wu; Hui Guo; Nour Moustafa (CoRR, 2021)

DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks. - Nour Moustafa; Marwa Keshk; Kim-Kwang Raymond Choo; Timothy M. Lynar; Seyit Camtepe; Monica T. Whitty (Future Gener. Comput. Syst., 2021)

A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks. - Osama Al-Kadi; Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2021)

Fair and size-scalable participant selection framework for large-scale mobile crowdsensing. - Shu Li; Wei Shen 005; Muhammad Bilal 003; Xiaolong Xu 001; Wanchun Dou; Nour Moustafa (J. Syst. Archit., 2021)

Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Osama M. Elkomy (Pattern Recognit. Lett., 2021)

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems. - Javed Ashraf; Asim D. Bakhshi; Nour Moustafa; Hasnat Khurshid; Abdullah Javed; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Learning-Enabled Threat Intelligence Scheme in the Internet of Things Networks. - Muna Al-Hawawreh; Nour Moustafa; Sahil Garg; M. Shamim Hossain (IEEE Trans. Netw. Sci. Eng., 2021)

An Integrated Framework for Privacy-Preserving Based Anomaly Detection for Cyber-Physical Systems. - Marwa Keshk; Elena Sitnikova; Nour Moustafa; Jiankun Hu; Ibrahim Khalil 001 (IEEE Trans. Sustain. Comput., 2021)

Generalized Outlier Gaussian Mixture Technique Based on Automated Association Features for Simulating and Detecting Web Application Attacks. - Nour Moustafa; Gaurav Misra; Jill Slay (IEEE Trans. Sustain. Comput., 2021)

Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Timothy M. Lynar (INFOCOM Workshops, 2022)

Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain. - Md. Asikuzzaman; Hannes Mareen; Nour Moustafa; Kim-Kwang Raymond Choo; Mark R. Pickering (IEEE Access, 2022)

Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems. - Sara Salim; Benjamin P. Turnbull; Nour Moustafa (Ad Hoc Networks, 2022)

A holistic survey on the use of emerging technologies to provision secure healthcare solutions. - Senthil Kumar Jagatheesaperumal; Preeti Mishra; Nour Moustafa; Rahul Chauhan (Comput. Electr. Eng., 2022)

A new Intelligent Satellite Deep Learning Network Forensic framework for smart satellite networks. - Nickolaos Koroniotis; Nour Moustafa; Jill Slay (Comput. Electr. Eng., 2022)

Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa (IEEE Consumer Electron. Mag., 2022)

Rethinking maximum-margin softmax for adversarial robustness. - Mohammed Hassanin; Nour Moustafa; Murat Tahtali; Kim-Kwang Raymond Choo (Comput. Secur., 2022)

Enhancing IoT anomaly detection performance for federated learning. - Brett Weinger; Jinoh Kim; Alex Sim; Makiya Nakashima; Nour Moustafa; K. John Wu (Digit. Commun. Networks, 2022)

Radial Basis Function Network with Differential Privacy. - Neda Bugshan; Ibrahim Khalil 001; Nour Moustafa; Mahathir Almashor; Alsharif Abuadbba (Future Gener. Comput. Syst., 2022)

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. - Izhar Ahmed Khan; Nour Moustafa; Imran Razzak; Muhammad Tanveer 001; Dechang Pi; Yue Pan; Bakht Sher Ali (Future Gener. Comput. Syst., 2022)

One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. - Imran Razzak; Nour Moustafa; Shahid Mumtaz; Guandong Xu (Int. J. Intell. Syst., 2022)

H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Nazeeruddin Mohammad (IEEE Internet Things J., 2022)

ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets. - Tim M. Booij; Irina Chiscop; Erik Meeuwissen; Nour Moustafa; Frank T. H. den Hartog (IEEE Internet Things J., 2022)

A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks. - Izhar Ahmed Khan; Nour Moustafa; Dechang Pi; Karam M. Sallam; Albert Y. Zomaya; Bentian Li (IEEE Internet Things J., 2022)

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa (Inf. Sci., 2022)

Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children. - Abdul Qayyum; Imran Razzak; Nour Moustafa; Moona Mazher (Image Vis. Comput., 2022)

An Automated Task Scheduling Model Using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems. - Ismail M. Ali; Karam M. Sallam; Nour Moustafa; Ripon K. Chakrabortty; Michael J. Ryan; Kim-Kwang Raymond Choo (IEEE Trans. Cloud Comput., 2022)

Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network. - Essam Soliman Debie; Nour Moustafa; Athanasios V. Vasilakos (IEEE Trans. Dependable Secur. Comput., 2022)

An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health. - Md. Abdur Rahim; Md. Arafatur Rahman; Md. Mustafizur Rahman; Nafees Zaman; Nour Moustafa; Imran Razzak (IEEE Trans. Green Commun. Netw., 2022)

Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash (IEEE Trans. Ind. Informatics, 2022)

Guest Editorial: AI-Enabled Threat Intelligence and Hunting Microservices for Distributed Industrial IoT System. - Nour Moustafa; Kim-Kwang Raymond Choo; Adnan M. Abu-Mahfouz (IEEE Trans. Ind. Informatics, 2022)

A Blockchain-Enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems. - Mohammad Saidur Rahman 001; Ibrahim Khalil 001; Nour Moustafa; Aditya Pribadi Kalapaaking; Abdelaziz Bouras (IEEE Trans. Ind. Informatics, 2022)

Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Timothy M. Lynar; Imran Razzak (IEEE J. Biomed. Health Informatics, 2022)

AI-Driven Synthetic Biology for Non-Small Cell Lung Cancer Drug Effectiveness-Cost Analysis in Intelligent Assisted Medical Systems. - Liu Chang; Jia Wu 002; Nour Moustafa; Ali Kashif Bashir; Keping Yu (IEEE J. Biomed. Health Informatics, 2022)

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Imran Razzak; Karam M. Sallam; Osama M. Elkomy (IEEE Trans. Intell. Transp. Syst., 2022)

A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET. - Mohiuddin Ahmed; Nour Moustafa; A. F. M. Suaib Akhter; Imran Razzak; Ehsanuzzaman Surid; Adnan Anwar; A. F. M. Shahen Shah; Ahmet Zengin (IEEE Trans. Intell. Transp. Syst., 2022)

An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles. - Izhar Ahmed Khan; Nour Moustafa; Dechang Pi; Waqas Haider; Bentian Li; Alireza Jolfaei (IEEE Trans. Intell. Transp. Syst., 2022)

Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management. - Md. Arafatur Rahman; Marufa Yasmin Mukta; A. Taufiq Asyhari; Nour Moustafa; Mohammad N. Patwary; Abu Yousuf; Imran Razzak; Brij B. Gupta (IEEE Trans. Intell. Transp. Syst., 2022)

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics. - Md. Arafatur Rahman; Md. Abdur Rahim; Md. Mustafizur Rahman; Nour Moustafa; Imran Razzak; Tanvir Ahmad; Mohammad N. Patwary (IEEE Trans. Intell. Transp. Syst., 2022)

Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull; Imran Razzak (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Privacy-preserving big data analytics for cyber-physical systems. - Marwa Keshk; Nour Moustafa; Elena Sitnikova; Benjamin P. Turnbull (Wirel. Networks, 2022)

Deep Learning Techniques for IoT Security and Privacy - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding 001 (Springer, 2022)

ASU/UNSW-CNATCC-001. - Nathan Johnson; Benjamin P. Turnbull; Martin Reisslein; Nour Moustafa (IEEE DataPort, 2022)

Digital Forensics based on Federated Learning in IoT Environment. - Hania Mohamed; Nickolaos Koroniotis; Nour Moustafa (ACSW, 2023)

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions. - Nour Moustafa; Nickolaos Koroniotis; Marwa Keshk; Albert Y. Zomaya; Zahir Tari (IEEE Commun. Surv. Tutorials, 2023)

Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey. - Wael Issa; Nour Moustafa; Benjamin P. Turnbull; Nasrin Sohrabi; Zahir Tari (ACM Comput. Surv., 2023)

Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marius Portmann (J. Netw. Syst. Manag., 2023)

USMD: UnSupervised Misbehaviour Detection for Multi-Sensor Data. - Abdullah Alsaedi; Zahir Tari; Md. Redowan Mahmud; Nour Moustafa; Abdun Mahmood; Adnan Anwar (IEEE Trans. Dependable Secur. Comput., 2023)

Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash (IEEE Trans. Ind. Informatics, 2023)

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. - Francesco Schiliro; Nour Moustafa; Imran Razzak; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2023)

AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges. - Firas Al-Doghman; Nour Moustafa; Ibrahim Khalil 001; Nasrin Sohrabi; Zahir Tari; Albert Y. Zomaya (IEEE Trans. Serv. Comput., 2023)

CDTier: A Chinese Dataset of Threat Intelligence Entity Relationships. - Yinghai Zhou; Yitong Ren; Ming Yi; Yanjun Xiao 001; Zhiyuan Tan 001; Nour Moustafa; Zhihong Tian (IEEE Trans. Sustain. Comput., 2023)

An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks. - Ayodeji Oseni; Nour Moustafa; Gideon Creech; Nasrin Sohrabi; Andrew Strelzoff; Zahir Tari; Igor Linkov (IEEE Trans. Intell. Transp. Syst., 2023)

OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems. - Waleed Yamany; Nour Moustafa; Benjamin P. Turnbull (IEEE Trans. Intell. Transp. Syst., 2023)

Privacy-Preserving Microservices in Industrial Internet-of-Things-Driven Smart Applications. - Neda Bugshan; Ibrahim Khalil 001; Nour Moustafa; Mohammad Saidur Rahman 001 (IEEE Internet Things J., 2023)

The SAir-IIoT Cyber Testbed as a Service: A Novel Cybertwins Architecture in IIoT-Based Smart Airports. - Nickolaos Koroniotis; Nour Moustafa; Francesco Schiliro; Praveen Gauravaram; Helge Janicke (IEEE Trans. Intell. Transp. Syst., 2023)

DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks. - Izhar Ahmed Khan; Nour Moustafa; Dechang Pi; Yasir Hussain; Nauman Ali Khan (IEEE Trans. Ind. Informatics, 2023)

Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations. - Muhammad Alsherbiny; Ibrahim Radwan; Nour Moustafa; Deep Jyoti Bhuyan; Muath El-Waisi; Dennis Chang; Chunguang Li (IEEE J. Biomed. Health Informatics, 2023)

An explainable deep learning-enabled intrusion detection framework in IoT networks. - Marwa Keshk; Nickolaos Koroniotis; Nam Pham; Nour Moustafa; Benjamin P. Turnbull; Albert Y. Zomaya (Inf. Sci., 2023)

An improved Henry gas optimization algorithm for joint mining decision and resource allocation in a MEC-enabled blockchain networks. - Reda M. Hussien; Amr A. Abohany; Nour Moustafa; Karam M. Sallam (Neural Comput. Appl., 2023)

A Holistic Review of Cyber-Physical-Social Systems: New Directions and Opportunities. - Theresa May Sobb; Benjamin P. Turnbull; Nour Moustafa (Sensors, 2023)

A Predictive Profiling and Performance Modeling Approach for Distributed Stream Processing in Edge. - Hasan Geren; Nasrin Sohrabi; Zahir Tari; Nour Moustafa (ICDE, 2024)

PEL: Privacy Embedded Learning in Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Benjamin P. Turnbull (PST, 2024)

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions. - Mohammed Hassanin; Nour Moustafa (CoRR, 2024)

Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Imran Razzak; Mohamed Abd Elfattah (Digit. Commun. Networks, 2024)

Feature extraction for machine learning-based intrusion detection in IoT networks. - Mohanad Sarhan; Siamak Layeghy; Nour Moustafa; Marcus Gallagher; Marius Portmann (Digit. Commun. Networks, 2024)

A survey of intelligent multimedia forensics for internet of things communications: Approaches, strategies, perspectives, and challenges for a sustainable future. - Wei-Ping Ding 001; Mohamed Abdel-Basset; Ahmed M. Ali 005; Nour Moustafa (Eng. Appl. Artif. Intell., 2024)

Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. - Mohammed Hassanin; Nour Moustafa; Imran Razzak; M. Tanveer 001; David G. A. Ormrod; Jill Slay (IEEE Trans. Engineering Management, 2024)

RVE-PFL: Robust Variational Encoder-Based Personalized Federated Learning Against Model Inversion Attacks. - Wael Issa; Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2024)

Cybersecurity when working from home during COVID-19: considering the human factors. - Monica T. Whitty; Nour Moustafa; Marthie Grobler (J. Cybersecur., 2024)

A threat intelligence framework for protecting smart satellite-based healthcare networks. - Muna Al-Hawawreh; Nour Moustafa; Jill Slay (Neural Comput. Appl., 2024)

AIoT Malware detection (Zeek preprocessed). - Nour Moustafa; S. Hettich; S. D. Bay; Sebastián García; Agustin Parmisano; María José Erquiaga; Muhammad Dany AlFriki; Cut Alna Fadhilla; Rafael Kaliski (IEEE DataPort, 2024)

Explainable deep learning for attack intelligence and combating cyber-physical attacks. - Muna Al-Hawawreh; Nour Moustafa (Ad Hoc Networks, 2024)

Deep-Federated-Learning-Based Threat Detection Model for Extreme Satellite Communications. - Sara Salim; Nour Moustafa; Mohamed Hassanian; David G. A. Ormrod; Jill Slay (IEEE Internet Things J., 2024)

Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks. - Waleed Yamany; Marwa Keshk; Nour Moustafa; Benjamin P. Turnbull (IEEE Trans. Consumer Electron., 2024)

CNA-TCC: Campaign Network Attribute Based Thematic Campaign Classification. - Nathan Johnson; Benjamin P. Turnbull; Martin Reisslein; Nour Moustafa (IEEE Trans. Comput. Soc. Syst., 2024)

A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks. - Sara Salim; Benjamin P. Turnbull; Nour Moustafa (IEEE Trans. Comput. Soc. Syst., 2024)

SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Benjamin P. Turnbull (Cogn. Comput., 2024)

DT-BFL: Digital Twins for Blockchain-enabled Federated Learning in Internet of Things networks. - Wael Issa; Nour Moustafa; Benjamin P. Turnbull; Kim-Kwang Raymond Choo (Ad Hoc Networks, 2025)

IoT-CAD: A comprehensive Digital Forensics dataset for AI-based Cyberattack Attribution Detection methods in IoT environments. - Hania Mohamed; Nickolaos Koroniotis; Francesco Schiliro; Nour Moustafa (Ad Hoc Networks, 2025)

BFL-SC: A blockchain-enabled federated learning framework, with smart contracts, for securing social media-integrated internet of things systems. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull (Ad Hoc Networks, 2025)

Large language models for cyber resilience: A comprehensive review, challenges, and future perspectives. - Weiping Ding 001; Mohamed Abdel-Basset; Ahmed M. Ali 005; Nour Moustafa (Appl. Soft Comput., 2025)

Generative fuzzer-driven vulnerability detection in the Internet of Things networks. - Mohammed Tanvir Masud; Nickolaos Koroniotis; Marwa Keshk; Benjamin P. Turnbull; Shabnam Kasra Kermanshahi; Nour Moustafa (Appl. Soft Comput., 2025)

Vulnerability defence using hybrid moving target defence in Internet of Things systems. - Mohammed Tanvir Masud; Marwa Keshk; Nour Moustafa; Benjamin P. Turnbull; Willy Susilo (Comput. Secur., 2025)

ERT: Data placement based on estimated response time for P2P storage systems. - Fitrio Pakana; Nasrin Sohrabi; Hai Dong; Zahir Tari; Nour Moustafa (J. Parallel Distributed Comput., 2025)

A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols. - Ahmed Reda Aldysty; Nour Moustafa; Erandi Lakshika (IEEE Open J. Commun. Soc., 2025)

Explainable Artificial Intelligence for Resilient Security Applications in the Internet of Things. - Mohammed Tanvir Masud; Marwa Keshk; Nour Moustafa; Igor Linkov; Darren K. Emge (IEEE Open J. Commun. Soc., 2025)

Harnessing Federated Learning for Digital Forensics in IoT: A Survey and Introduction to the IoT-LF Framework. - Hania Mohamed; Nickolaos Koroniotis; Nour Moustafa; Francesco Schiliro; Albert Y. Zomaya (IEEE Open J. Commun. Soc., 2025)

Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems. - Amirmohammad Pasdar; Nickolaos Koroniotis; Marwa Keshk; Nour Moustafa; Zahir Tari (IEEE Trans. Sustain. Comput., 2025)

VIFL: vulnerability identification using federated learning in the internet of things systems. - Wael Issa; Nour Moustafa; Benjamin P. Turnbull; Nasrin Sohrabi; Zahir Tari; Albert Y. Zomaya (Computing, 2025)

Cybersecurity of Satellite Communications Systems: A Comprehensive Survey of the Space, Ground, and Links Segments. - Sara Salim; Nour Moustafa; Martin Reisslein (IEEE Commun. Surv. Tutorials, 2025)

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems. - Majed Luay; Siamak Layeghy; Seyedehfaezeh Hosseininoorbin; Mohanad Sarhan; Nour Moustafa; Marius Portmann (CoRR, 2025)

Responsible Deep-Federated-Learning-Based Threat Detection for Satellite Communications. - Sara Salim; Nour Moustafa; Abdulrazaq Almorjan (IEEE Internet Things J., 2025)

DEFENDCLI: {Command-Line} Driven Attack Provenance Examination. - Peilun Wu; Nan Sun 002; Nour Moustafa; Youyang Qu; Ming Ding 001 (CoRR, 2025)