| 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 100, 779-796, 2019 | 1256 | 2019 |
| 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 | 350 | 2018 |
| 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 110, 91-106, 2020 | 184 | 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 | 175 | 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 | 142 | 2019 |
| Forensics and deep learning mechanisms for botnets in internet of things: A survey of challenges and solutions N Koroniotis, N Moustafa, E Sitnikova IEEE Access 7, 61764-61785, 2019 | 137 | 2019 |
| X-IIoTID: A connectivity-agnostic and device-agnostic intrusion data set for industrial Internet of Things M Al-Hawawreh, E Sitnikova, N Aboutorab IEEE Internet of Things Journal 9 (5), 3962-3977, 2021 | 103 | 2021 |
| Collaborative anomaly detection framework for handling big data of cloud computing N Moustafa, G Creech, E Sitnikova, M Keshk 2017 military communications and information systems conference (MilCIS), 1-6, 2017 | 81 | 2017 |
| Privacy preservation intrusion detection technique for SCADA systems M Keshk, N Moustafa, E Sitnikova, G Creech 2017 Military Communications and Information Systems Conference (MilCIS), 1-6, 2017 | 81 | 2017 |
| Targeted ransomware: A new cyber threat to edge system of brownfield industrial Internet of Things M Al-Hawawreh, F Den Hartog, E Sitnikova IEEE Internet of Things Journal 6 (4), 7137-7151, 2019 | 78 | 2019 |
| Towards understanding cybersecurity capability in Australian healthcare organisations: a systematic review of recent trends, threats and mitigation KL Offner, E Sitnikova, K Joiner, CR MacIntyre Health Security Intelligence, 92-121, 2021 | 57 | 2021 |
| Leveraging deep learning models for ransomware detection in the industrial internet of things environment M Al-Hawawreh, E Sitnikova 2019 military communications and information systems conference (MilCIS), 1-6, 2019 | 47 | 2019 |
| Privacy-preserving big data analytics for cyber-physical systems M Keshk, N Moustafa, E Sitnikova, B Turnbull Wireless Networks 28 (3), 1241-1249, 2022 | 45 | 2022 |
| Developing a security testbed for industrial internet of things M Al-Hawawreh, E Sitnikova IEEE Internet of Things Journal 8 (7), 5558-5573, 2020 | 40 | 2020 |
| The power of hands-on exercises in SCADA cyber security education E Sitnikova, E Foo, RB Vaughn Information Assurance and Security Education and Training: 8th IFIP WG 11.8 …, 2013 | 40 | 2013 |
| Probability risk identification based intrusion detection system for SCADA systems T Marsden, N Moustafa, E Sitnikova, G Creech Mobile Networks and Management: 9th International Conference, MONAMI 2017 …, 2018 | 36 | 2018 |
| An efficient intrusion detection model for edge system in brownfield industrial internet of things M Al-Hawawreh, E Sitnikova, F Den Hartog Proceedings of the 3rd international conference on big data and internet of …, 2019 | 34 | 2019 |
| Industrial Internet of Things based ransomware detection using stacked variational neural network M Al-Hawawreh, E Sitnikova Proceedings of the 3rd international conference on big data and internet of …, 2019 | 34 | 2019 |
| Privacy-preserving schemes for safeguarding heterogeneous data sources in cyber-physical systems M Keshk, B Turnbull, E Sitnikova, D Vatsalan, N Moustafa IEEE Access 9, 55077-55097, 2021 | 30 | 2021 |
| Asynchronous peer-to-peer federated capability-based targeted ransomware detection model for industrial IoT M Al-Hawawreh, E Sitnikova, N Aboutorab IEEE Access 9, 148738-148755, 2021 | 27 | 2021 |
Nour MoustafaAcademic Lead in Cyber Security & Computing, ARC DECRA Fellow, Spitfire Defence FellowVerifierad e-postadress på ieee.org
