Application of machine learning approaches in intrusion detection system: a survey NF Haq, AR Onik, MAK Hridoy, M Rafni, FM Shah, DM Farid IJARAI-International Journal of Advanced Research in Artificial Intelligence …, 2015 | 189 | 2015 |
A network intrusion detection framework based on Bayesian network using wrapper approach MR Kabir, AR Onik, T Samad International Journal of Computer Applications 166 (4), 13-17, 2017 | 64 | 2017 |
An ensemble framework of anomaly detection using hybridized feature selection approach (HFSA) NF Haq, AR Onik, FM Shah 2015 SAI Intelligent Systems Conference (IntelliSys), 989-995, 2015 | 53 | 2015 |
An analytical comparison on filter feature extraction method in data mining using J48 classifier AR Onik, NF Haq, L Alam, TI Mamun International Journal of Computer Applications 124 (13), 2015 | 31 | 2015 |
Cross-breed type Bayesian network based intrusion detection system (CBNIDS) AR Onik, NF Haq, W Mustahin 2015 18th International Conference on Computer and Information Technology …, 2015 | 11 | 2015 |
Corrigendum to “So fresh, so clean: Cloud forensic analysis of the Amazon iRobot Roomba vacuum”[FSIDI 48 (2024) 301686] AR Onik, R Alsmadi, I Baggili, AM Webb Forensic Science International: Digital Investigation 49, 301767, 2024 | | 2024 |
So fresh, so clean: Cloud forensic analysis of the Amazon iRobot Roomba vacuum AR Onik, R Alsmadi, I Baggili, AM Webb Forensic Science International: Digital Investigation 48, 301686, 2024 | | 2024 |