| Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems SB Joseph, EG Dada, A Abidemi, DO Oyewola, BM Khammas Heliyon 8 (5), 2022 | 277 | 2022 |
| Ransomware detection using random forest technique BM Khammas ICT Express 6 (4), 325-331, 2020 | 137 | 2020 |
| Implementation of a sigmoid activation function for neural network using FPGA TM Jamel, BM Khammas 13th Scientific Conference of Al-Ma’moon University College 13, 1589-1591, 2012 | 52 | 2012 |
| Feature selection and machine learning classification for malware detection BM Khammas, A Monemi, JS Bassi, I Ismail, SM Nor, MN Marsono Jurnal Teknologi 77 (1), 2015 | 46 | 2015 |
| Malware detection using sub-signatures and machine learning technique B Khammas Journal of Information Security Research 9 (3), 96-106, 2018 | 15 | 2018 |
| Incorporating known malware signatures to classify new malware variants in network traffic I Ismail, MN Marsono, BM Khammas, SM Nor International Journal of Network Management 25 (6), 471-489, 2015 | 15 | 2015 |
| Metamorphic malware detection based on support vector machine classification of malware sub-signatures BM Khammas, A Monemi, I Ismail, SM Nor, MN Marsono TELKOMNIKA (Telecommunication Computing Electronics and Control) 14 (3 …, 2016 | 14 | 2016 |
| Accuracy improved malware detection method using snort sub-signatures and machine learning techniques BM Khammas, S Hasan, RA Ahmed, JS Bassi, I Ismail 2018 10th Computer Science and Electronic Engineering (CEEC), 107-112, 2018 | 11 | 2018 |
| Comparative analysis of various machine learning algorithms for ransomware detection BM Khammas TELKOMNIKA (Telecommunication Computing Electronics and Control) 20 (1), 43-51, 2022 | 9 | 2022 |
| Pre-filters in-transit malware packets detection in the network BM Khammas, I Ismail, MN Marsono TELKOMNIKA (Telecommunication Computing Electronics and Control) 17 (4 …, 2019 | 9 | 2019 |
| The performance of iot malware detection technique using feature selection and feature reduction in fog layer BM Khammas IOP Conference Series: Materials Science and Engineering 928 (2), 022047, 2020 | 8 | 2020 |
| Metaheuristic Algorithms for PID Controller Parameters Tuning: Review, Approaches and Open Problems. Heliyon 2022, 8, e09399 SB Joseph, EG Dada, A Abidemi, DO Oyewola, BM Khammas | 6 | |
| Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems. Heliyon 2022; 8 (5): e09399 SB Joseph, EG Dada, A Abidemi, DO Oyewola, BM Khammas | 6 | |
| An effective and efficient features vectors for ransomware detection via machine learning technique NA Khalil, BM Khammas Iraqi Journal of Information and Communication Technology 5 (3), 23-33, 2022 | 5 | 2022 |
| Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems. Heliyon 8, e09399 SB Joseph, EG Dada, A Abidemi, DO Oyewola, BM Khammas | 5 | 2022 |
| Obfuscated computer virus detection using machine learning algorithm TH Xin, I Ismail, BM Khammas Bulletin of Electrical Engineering and Informatics 8 (4), 1383-1391, 2019 | 5 | 2019 |
| First line defense against spreading new malware in the network BM Khammas, S Hasan, N Nateq, JS Bassi, I Ismail, MN Marsono 2018 10th Computer Science and Electronic Engineering (CEEC), 113-118, 2018 | 5 | 2018 |
| Online peer-to-peer traffic identification based on complex events processing of traffic event signatures JS Bassi, LH Ru, I Ismail, BM Khammas, MN Marsono Jurnal Teknologi 78 (7), 2016 | 5 | 2016 |
| FPGA based neural wireless sensor network TM Jamel, BM Khammas, MK Zibar The 13th International Arab Conference on Information Technology, 2012 | 5 | 2012 |
| Design Neural Wireless Sensor Network Using FPGA BM Khammas Eng. & Tech. Journal 30 (9), 1641-1661, 2012 | 5 | 2012 |
