| Feature selection for phishing detection: a review of research H Zuhair, A Selamat, M Salleh International Journal of Intelligent Systems Technologies and Applications …, 2016 | 35 | 2016 |
| A multi-tier streaming analytics model of 0-day ransomware detection using machine learning H Zuhair, A Selamat, O Krejcar Applied Sciences 10 (9), 3210, 2020 | 28 | 2020 |
| The effect of Feature Selection on Phish Website Detection: an Empirical Study on Robust Feature Subset Selection for Effective Classification MS H Zuhir, A Selmat International Journal of Advanced Computer Science and Applications (IJACSA …, 2015 | 26* | 2015 |
| Survey of anti-phishing tools with detection capabilities AS HZ Zeydan International Symposium on Biometrics and Security Technologies (ISBAST’2014 …, 2014 | 21 | 2014 |
| New Hybrid Features for Phish Website Prediction. H Zuhair, A Selamat, M Salleh International Journal of Advances in Soft Computing & Its Applications 8 (1), 2016 | 17 | 2016 |
| SELECTION OF ROBUST FEATURE SUBSETS FOR PHISH WEBPAGE PREDICTION USING MAXIMUM RELEVANCE AND MINIMUM REDUNDANCY CRITERION. H Zuhair, A Selamat, M Salleh Journal of Theoretical & Applied Information Technology 81 (2), 2015 | 17 | 2015 |
| Current state of anti-phishing approaches and revealing competencies HZ Zeydan, A Selamat, M Salleh J. Theor. Appl. Inf. Technol 70 (3), 507-515, 2014 | 16 | 2014 |
| Phishing Classification Models: Issues and Perspectives H Zuhair, A Selamat International Journal of Digital Enterprise Technology 1 (3), 219-240, 2019 | 15 | 2019 |
| RANDS: A Machine Learning-Based Anti-Ransomware Tool for Windows Platforms H Zuhair, A Selamat Advancing Technology Industrialization Through Intelligent Software …, 2019 | 14 | 2019 |
| Phishing hybrid feature-based classifier by using recursive features subset selection and machine learning algorithms H Zuhair, A Selamat Recent Trends in Data Science and Soft Computing: Proceedings of the 3rd …, 2019 | 8 | 2019 |
| A panoramic evaluation of machine learning and deep learning-aided ransomware detection tools using a hybrid cluster of rich smartphone traits H Zuhair Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 387-408, 2022 | 6 | 2022 |
| Data security using random dynamic salting and AES based on master-slave keys for Iraqi dam management system Hussam J. Ali, Talib M. Jawad, Hiba Zuhair Indonesian Journal of Electrical Engineering and Computer Science 23 (2 …, 2021 | 6 | 2021 |
| HYBRID FEATURES-BASED PREDICTION FOR NOVEL PHISH WEBSITES H Zuhair, M Salleh, A Selamat JURNAL TEKNOLOGI 78 (12-3), 95-109, 2017 | 5 | 2017 |
| Deep Learning in Phishing Mitigation: A Uniform Resource locator-Based Predictive Model H Sallah, H Zuhair International Journal of Electrical and Computer Engineering 13 (3), 3227 – 3243, 2023 | 4 | 2023 |
| Study on Protection Against Password Phishing HZ Zeydan, A Selamat, M Salleh World Applied Sciences Journal 32 (5), 797-801, 2014 | 2 | 2014 |
| Catching a Phish: Frontiers of Deep Learning-Based Anticipating Detection Engines H Salah, H Zuhair Lecture Notes on Data Engineering and Communications Technologies (LNDECT …, 2022 | 1 | 2022 |
| An empirical analysis of machine learning efficacy in anti-ransomware tools H Zuhair, A Selamat American University in the Emirates International Research, 41-49, 2020 | 1 | 2020 |
| Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios H Zuhair, A Selamat International Journal of Data Mining, Modelling and Management 12 (3), 255-276, 2020 | 1 | 2020 |
| AN INTELLIGENT AND REAL-TIME RANSOMWARE DETECTION TOOL USING MACHINE LEARNING ALGORITHM H Zuhair, A Selamat Journal of Theoretical and Applied Information Technology 97 (23), 3448-3461, 2019 | 1 | 2019 |
| Six Biometrics Identification System (SBIS) Using Feed Forward Back Propagation Neural Network A Qasim, H Zuhair TELEMATIQUE 21 (1), 6185 – 6209, 2022 | | 2022 |
Ali SelamatMalaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi MalaysiaVerified email at utm.my
