Abdur Rahman Onik

20152016201720182019202020212022202320244 10 28 41 45 51 55 61 38 9

Nutan HaqResearcherVerified email at mscse.uiu.ac.bd
Faisal Muhammad ShahAssociate Professor, Dept of Computer Science and Engineering, Ahsanullah University of Science andVerified email at aust.edu
Dewan Md. FaridProfessor of Computer Science, United International UniversityVerified email at cse.uiu.ac.bd
Tauseef Ibne MamunPostdoctoral Researcher, Perelman School of Medicine, University of PennsylvaniaVerified email at pennmedicine.upenn.edu
Lamia AlamJohns Hopkins UniversityVerified email at jh.edu
Ibrahim (Abe) BaggiliProfessor, Center for Computation and Technology, Louisiana State UniversityVerified email at lsu.edu
Andrew M. WebbLouisiana State UniversityVerified email at lsu.edu

Abdur Rahman Onik

Gradate Teaching Assistant || Ph.D. in Computer Science and Engineering, Louisiana State University

Verified email at lsu.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	188	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	63	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	51	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
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

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