| Android botnet detection using machine learning MM Rasheed, AK Faieq, AA Hashim Ingenierie des Systemes d'Information 25 (1), 127, 2020 | 17 | 2020 |
| Intelligent failure connection algorithm for detecting internet worms MM Rasheed, NM Norwawi, O Ghazali, MM Kadhum IJCSNS 9 (5), 280, 2009 | 15 | 2009 |
| Detection algorithm for internet worms scanning that used user datagram protocol MM Rasheed, NM Norwawi, O Ghazali, MK Faaeq International Journal of Information and Computer Security 11 (1), 17-32, 2019 | 10 | 2019 |
| Development of a new system to detect denial of service attack using machine learning classification MM Rasheed, AK Faieq, AA Hashim Indones. J. Electr. Eng. Comput. Sci 23 (2), 2021 | 8 | 2021 |
| Detecting and optimizing internet worm traffic signature MM Rasheed, S Badrawi, MK Faaeq, AK Faieq 2017 8th International Conference on Information Technology (ICIT), 870-874, 2017 | 8 | 2017 |
| A traffic signature-based algorithm for detecting scanning internet worms MM Rasheed, O Ghazali, NM Norwawi, MM Kadhum International Journal of Communication Networks and Information Security …, 2009 | 8 | 2009 |
| Server scanning worm detection by using intelligent failure connection algorithm MM Rasheed, O Ghazali, NM Norwawi Research Journal of Information Technology Volume 2, Issue 4, 2010, Pages …, 2010 | 7 | 2010 |
| Behavioral detection of scanning worm in cyber defense MM Rasheed, MK Faaeq Proceedings of the Future Technologies Conference (FTC) 2018: Volume 2, 214-225, 2019 | 6 | 2019 |
| The antecedent of continuance usage intention of electronic government service by integrating UTAUT and perspectives of expectation-confirmation models in the conflict environment M Faaeq, S Abdullah, A Faieq, Q Al-Salami, R Alsamarraie, ... International Journal of Economic Research 14 (19), 311-323, 2017 | 6 | 2017 |
| Analysis of bluetooth low energy based indoor localization system using machine learning algorithms A Hashim, M Rasheed, S Abdullah Journal of Engineering Science and Technology 16 (4), 2816-2824, 2021 | 4 | 2021 |
| Fast detection of stealth and slow scanning worms in transmission control protocol M M Rasheed, O Ghazali, R Budiarto Journal of Applied Sciences 12 (20), 2156-2163, 2012 | 4 | 2012 |
| Towardsof Smart Cities Based onthe Sustainability of Digital Services QHAS Munadil K. Faaeq,,Nik Kamariah Nik Mat, Alaa Khaleel Faieq, Mohammad M ... International Journal of Engineering & Technology 7 (4), 436 -442, 2018 | 3* | 2018 |
| Novel Review of Electronic Government Stages among Different Continents MK Faaeq, AK Faieq, MM Rasheed, TH Thabit 7th International Conference on Information Technology, Al-Zaytoonah …, 2015 | 3 | 2015 |
| Intelligent signature detection for scanning internet worms MM Rasheed, O Ghazali, NM Norwawi Information Technology Journal Volume 11, Issue 7, 2012, Pages 760-767, 2012 | 3 | 2012 |
| Factors influencing electronic government services adoption in the risky environment: A structural equation modelling approach MK Faaeq, MM Rasheed, AA Al-Ansi, AA Homaid, AK Faieq International Journal of Economic Research 14 (16), 531-541, 2017 | 2 | 2017 |
| Determinants of the Long Term Factors and Effects of Sustainability on Usage of Electronic Government Services: Evidence from the Kingdom of Saudi Arabia. MKF Al-Sammarraie, MM Rasheed, AK Faieq International Journal of Economic Perspectives 10 (4), 2016 | 2 | 2016 |
| Improving the Failure Connection Algorithm for Detecting Unknown Internet Worms MM Rasheed, MM Kadhum | 2 | 2008 |
| The factors affecting sustainable of growing development by implementing UTAUT2 in the worst country in using ICT in the world AK Faieq, MM Rasheed ResearchGate. https://s. id/Reference15, 2017 | 1 | 2017 |
| Behavioural Detection for Internet Scanning Worm Attack. MM Rasheed Computer Science & Telecommunications 46 (2), 2015 | 1 | 2015 |
| HOW TO ARCHITECT THE RURAL REGIONS INTO SMART SOCIETY MKF Al-Sammarraie, AK Faieq, SA Harjan, MM Rasheed 3rd EURASIAN MULTIDISCIPLINARY FORUM, EMF 2015 19-21 October, Tbilisi …, 2015 | 1 | 2015 |
Osman GhazaliProfessor, Universiti Utara Malaysiaبريد إلكتروني تم التحقق منه على uum.edu.my