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 | 1347 | 2019 |
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 6 (3), 4815-4830, 2018 | 504 | 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 8 (12), 9463-9472, 2020 | 330 | 2020 |
Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling W Haider, J Hu, J Slay, BP Turnbull, Y Xie Journal of Network and Computer Applications 87, 185-192, 2017 | 210 | 2017 |
A new threat intelligence scheme for safeguarding industry 4.0 systems N Moustafa, E Adi, B Turnbull, J Hu IEEE Access 6, 32910-32924, 2018 | 168 | 2018 |
A privacy-preserving-framework-based blockchain and deep learning for protecting smart power networks M Keshk, B Turnbull, N Moustafa, D Vatsalan, KKR Choo IEEE Transactions on Industrial Informatics 16 (8), 5110-5118, 2019 | 151 | 2019 |
Blockchain-based federated learning for securing internet of things: A comprehensive survey W Issa, N Moustafa, B Turnbull, N Sohrabi, Z Tari ACM Computing Surveys 55 (9), 1-43, 2023 | 142 | 2023 |
Supply chain 4.0: A survey of cyber security challenges, solutions and future directions T Sobb, B Turnbull, N Moustafa Electronics 9 (11), 1864, 2020 | 128 | 2020 |
A review of intrusion detection and blockchain applications in the cloud: approaches, challenges and solutions O Alkadi, N Moustafa, B Turnbull IEEE Access 8, 104893-104917, 2020 | 78 | 2020 |
Digital evidence on mobile devices E Casey, B Turnbull Digital Evidence and Computer Crime 3, 1-44, 2011 | 62 | 2011 |
Automated event and social network extraction from digital evidence sources with ontological mapping B Turnbull, S Randhawa Digital Investigation 13, 94-106, 2015 | 55 | 2015 |
Robustness evaluations of sustainable machine learning models against data poisoning attacks in the internet of things C Dunn, N Moustafa, B Turnbull Sustainability 12 (16), 6434, 2020 | 52 | 2020 |
An explainable deep learning-enabled intrusion detection framework in IoT networks M Keshk, N Koroniotis, N Pham, N Moustafa, B Turnbull, AY Zomaya Information Sciences 639, 119000, 2023 | 49 | 2023 |
Privacy-preserving big data analytics for cyber-physical systems M Keshk, N Moustafa, E Sitnikova, B Turnbull Wireless Networks 28 (3), 1241-1249, 2022 | 48 | 2022 |
A survey on privacy-preserving blockchain systems (PPBS) and a novel PPBS-based framework for smart agriculture QN Tran, BP Turnbull, HT Wu, AJS De Silva, K Kormusheva, J Hu IEEE Open Journal of the Computer Society 2, 72-84, 2021 | 44 | 2021 |
The cyber conceptual framework for developing military doctrine D Ormrod, B Turnbull Defence Studies 16 (3), 270-298, 2016 | 36 | 2016 |
Biometrics and privacy-preservation: How do they evolve? QN Tran, BP Turnbull, J Hu IEEE Open Journal of the Computer Society 2, 179-191, 2021 | 35 | 2021 |
OQFL: An optimized quantum-based federated learning framework for defending against adversarial attacks in intelligent transportation systems W Yamany, N Moustafa, B Turnbull IEEE Transactions on Intelligent Transportation Systems 24 (1), 893-903, 2021 | 33 | 2021 |
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 | 33 | 2021 |
Towards a formalization of digital forensics J Slay, YC Lin, B Turnbull, J Beckett, P Lin Advances in Digital Forensics V: Fifth IFIP WG 11.9 International Conference …, 2009 | 33 | 2009 |