Benjamin Turnbull
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
Digital evidence on mobile devices
E Casey, B Turnbull
Digital Evidence and Computer Crime 3, 1-44, 2011
Automated event and social network extraction from digital evidence sources with ontological mapping
B Turnbull, S Randhawa
Digital Investigation 13, 94-106, 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
Privacy-preserving big data analytics for cyber-physical systems
M Keshk, N Moustafa, E Sitnikova, B Turnbull
Wireless Networks 28 (3), 1241-1249, 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
The cyber conceptual framework for developing military doctrine
D Ormrod, B Turnbull
Defence Studies 16 (3), 270-298, 2016
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
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
Mixture localization-based outliers models for securing data migration in cloud centers
O AlKadi, N Moustafa, B Turnbull, KKR Choo
IEEE Access 7, 114607-114618, 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
Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems
S Salim, B Turnbull, N Moustafa
Ad Hoc Networks 128, 102786, 2022
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