| An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine AA TAHA, SJ MALEBARY IEEE Access 8 (1), 25579-25587, 2020 | 337 | 2020 |
| Phishing dynamic evolving neural fuzzy framework for online detection zero-day phishing email A Almomani, BB Gupta, TC Wan, A Altaher, S Manickam arXiv preprint arXiv:1302.0629, 2013 | 121 | 2013 |
| Phishing Websites Classification using Hybrid SVM and KNN Approach A Altaher International Journal of Advanced Computer Science and Applications 8 (6), 90-95, 2017 | 82 | 2017 |
| Evolving fuzzy neural network for phishing emails detection A Almomani, TC Wan, A Altaher, A Manasrah, E ALmomani, M Anbar, ... Journal of Computer Science 8 (7), 1099, 2012 | 61 | 2012 |
| An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features A Altaher Neural Computing and Applications 28 (12), 4147–4157, 2016 | 55 | 2016 |
| Hybrid approach for sentiment analysis of Arabic tweets based on deep learning model and features weighting A Altaher Int. J. Adv. Appl. Sci 4 (8), 43-49, 2017 | 37 | 2017 |
| An online model on evolving phishing e-mail detection and classification method AA Deeb Al-Mo, TC Wan, K Al-Saedi, A Altaher, S Ramadass, ... Journal of Applied Sciences 11 (18), 3301-3307, 2011 | 36 | 2011 |
| ICMPv6 flood attack detection using DENFIS algorithms RM Saad, A Almomani, A Altaher, BB Gupta, S Manickam Indian J. Sci. Technol 7 (2), 168-173, 2014 | 30 | 2014 |
| Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting A Taha Mathematics 9 (2799), 1-13, 2021 | 29 | 2021 |
| Prediction of student's academic performance based on adaptive neuro-fuzzy inference A Altaher, O BaRukab International Journal of Computer Science and Network Security (IJCSNS) 17 …, 2017 | 29 | 2017 |
| Malaysian internet surfing addiction (MISA): Factors affecting the internet use and its consequences CS Ling, S Ramadass, A Altaher, NC Arjuman 2011 IEEE International Conference on Computer Applications and Industrial …, 2011 | 29 | 2011 |
| Intelligent approach for android malware detection S Abdulla, A Altaher KSII Transactions on Internet and Information Systems (TIIS) 9 (8), 2964-2983, 2015 | 28 | 2015 |
| Classification of android malware applications using feature selection and classification algorithms A Altaher VAWKUM Transactions on Computer Sciences 4 (1), 31-35, 2016 | 27 | 2016 |
| Malware detection based on evolving clustering method for classification A Altaher, S Ramadass Scientific Research and Essays 7 (22), 2031-2036, 2012 | 26* | 2012 |
| kENFIS: kNN-based evolving neuro-fuzzy inference system for computer worms detection A Shubair, S Ramadass, AA Altyeb Journal of Intelligent & Fuzzy Systems 26 (4), 1893-1908, 2014 | 25 | 2014 |
| Intelligent hybrid approach for Android malware detection based on permissions and API calls A Altaher, OM Barukab International Journal of Advanced Computer Science and Applications 8 (6), 2017 | 24 | 2017 |
| Hybrid classification of Android malware based on fuzzy clustering and the gradient boosting machine AA Taha, SJ Malebary Neural Computing and Applications 32 (23), 2020 | 23 | 2020 |
| Real time network anomaly detection using relative entropy A Altaher, S Ramadass, A Almomani 8th International Conference on High-capacity Optical Networks and Emerging …, 2011 | 23 | 2011 |
| Android malware classification based on ANFIS with fuzzy c-means clustering using significant application permissions A Altaher, O Barukab Turkish Journal of Electrical Engineering and Computer Sciences 25 (3), 2232 …, 2017 | 21 | 2017 |
| Employing machine learning algorithms to detect unknown scanning and email worms. S Abdulla, S Ramadass, AA Altyeb, A Al-Nassiri Int. Arab J. Inf. Technol. 11 (2), 140-148, 2014 | 21 | 2014 |
Sureswaran RamadassProfessor of Computer Science, Univ Sains Malaysiaยืนยันอีเมลแล้วที่ nav6.org
