Abdur Rahman Onik

20152016201720182019202020212022202320244 10 28 41 45 51 55 61 39 11

Nutan HaqResearcherVerifisert e-postadresse på mscse.uiu.ac.bd
Faisal Muhammad ShahAssociate Professor, Dept of Computer Science and Engineering, Ahsanullah University of Science andVerifisert e-postadresse på aust.edu
Dewan Md. FaridProfessor of Computer Science, United International UniversityVerifisert e-postadresse på cse.uiu.ac.bd
Tauseef Ibne MamunPostdoctoral Researcher, Perelman School of Medicine, University of PennsylvaniaVerifisert e-postadresse på pennmedicine.upenn.edu
Lamia AlamJohns Hopkins UniversityVerifisert e-postadresse på jh.edu
Ibrahim (Abe) BaggiliProfessor, Center for Computation and Technology, Louisiana State UniversityVerifisert e-postadresse på lsu.edu
Andrew M. WebbLouisiana State UniversityVerifisert e-postadresse på lsu.edu

Abdur Rahman Onik

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

Verifisert e-postadresse på lsu.edu - Startside


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	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	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
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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