| Machine learning based encrypted traffic classification: Identifying ssh and skype R Alshammari, AN Zincir-Heywood 2009 IEEE symposium on computational intelligence for security and defense …, 2009 | 293 | 2009 |
| Can encrypted traffic be identified without port numbers, IP addresses and payload inspection? R Alshammari, AN Zincir-Heywood Computer networks 55 (6), 1326-1350, 2011 | 190 | 2011 |
| A flow based approach for SSH traffic detection R Alshammari, AN Zincir-Heywood 2007 IEEE international conference on systems, man and cybernetics, 296-301, 2007 | 96 | 2007 |
| Comparison of statistical logistic regression and random forest machine learning techniques in predicting diabetes T Daghistani, R Alshammari Journal of Advances in Information Technology Vol 11 (2), 78-83, 2020 | 79 | 2020 |
| Investigating two different approaches for encrypted traffic classification R Alshammari, AN Zincir-Heywood 2008 Sixth Annual Conference on Privacy, Security and Trust, 156-166, 2008 | 76 | 2008 |
| Identification of VoIP encrypted traffic using a machine learning approach R Alshammari, AN Zincir-Heywood Journal of King Saud University-Computer and Information Sciences 27 (1), 77-92, 2015 | 67 | 2015 |
| An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype R Alshammari, AN Zincir-Heywood 2010 International Conference on Network and Service Management, 310-313, 2010 | 60 | 2010 |
| Using neuro-fuzzy approach to reduce false positive alerts R Alshammari, S Sonamthiang, M Teimouri, D Riordan Fifth Annual Conference on Communication Networks and Services Research …, 2007 | 59 | 2007 |
| Diagnosis of diabetes by applying data mining classification techniques T Daghistani, R Alshammari International Journal of Advanced Computer Science and Applications 7 (7), 2016 | 58 | 2016 |
| Type-2 diabetes mellitus diagnosis from time series clinical data using deep learning models Z Alhassan, AS McGough, R Alshammari, T Daghstani, D Budgen, ... Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 42 | 2018 |
| Unveiling Skype encrypted tunnels using GP R Alshammari, AN Zincir-Heywood IEEE Congress on Evolutionary Computation, 1-8, 2010 | 41 | 2010 |
| Prediction of Stroke using Data Mining Classification Techniques OAR Alshammar International Journal of Advanced Computer Science and Applications(IJACSA …, 2018 | 38* | 2018 |
| Generalization of signatures for ssh encrypted traffic identification R Alshammari, N Zincir-Heywood 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 167-174, 2009 | 37 | 2009 |
| Middle east and North African health informatics association (MENAHIA): building sustainable collaboration N Al-Shorbaji, M Househ, A Taweel, A Alanizi, BO Mohammed, H Abaza, ... Yearbook of medical informatics 27 (01), 286-291, 2018 | 35 | 2018 |
| Predictors of outpatients’ no-show: big data analytics using apache spark T Daghistani, H AlGhamdi, R Alshammari, RH AlHazme Journal of Big Data 7, 1-15, 2020 | 32 | 2020 |
| Developing a predictive model of predicting appointment no-show by using machine learning algorithms A Alshammari, R Almalki, R Alshammari Journal of Advances in Information Technology Vol 12 (3), 2021 | 25 | 2021 |
| Improving accelerometer-based activity recognition by using ensemble of classifiers T Daghistani, R Alshammari International journal of advanced computer science and applications 7 (5), 2016 | 25 | 2016 |
| Classifying ssh encrypted traffic with minimum packet header features using genetic programming R Alshammari, PI Lichodzijewski, M Heywood, AN Zincir-Heywood Proceedings of the 11th annual conference companion on genetic and …, 2009 | 25 | 2009 |
| Stacked denoising autoencoders for mortality risk prediction using imbalanced clinical data Z Alhassan, D Budgen, R Alshammari, T Daghstani, AS McGough, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 24 | 2018 |
| Arabic text categorization using machine learning approaches R Alshammari International Journal of Advanced Computer Science and Applications 9 (3), 2018 | 24 | 2018 |
Nur Zincir-HeywoodProfessor of Computer Science, Dalhousie UniversityEmail verificata su cs.dal.ca
