| Cyber-attack modeling analysis techniques: An overview H Al-Mohannadi, Q Mirza, A Namanya, I Awan, A Cullen, J Disso 2016 IEEE 4th international conference on future internet of things and …, 2016 | 132 | 2016 |
| CloudIntell: An intelligent malware detection system QKA Mirza, I Awan, M Younas Future Generation Computer Systems 86, 1042-1053, 2018 | 77 | 2018 |
| Detection of malicious portable executables using evidence combinational theory with fuzzy hashing AP Namanya, QKA Mirza, H Al-Mohannadi, IU Awan, JFP Disso 2016 IEEE 4th International Conference on Future Internet of Things and …, 2016 | 18 | 2016 |
| An intelligent and time-efficient DDoS identification framework for real-time enterprise networks: SAD-F: Spark based anomaly detection framework A Ahmed, S Hameed, M Rafi, QKA Mirza IEEE Access 8, 219483-219502, 2020 | 14 | 2020 |
| A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware QK Ali Mirza, MUD Ghulam, I Awan 2016 IEEE 30th International Conference on Advanced Information Networking …, 2016 | 14 | 2016 |
| Ransomware analysis using cyber kill chain QKA Mirza, M Brown, O Halling, L Shand, A Alam 2021 8th International Conference on Future Internet of Things and Cloud …, 2021 | 11 | 2021 |
| Enhancing cryptocurrency price forecasting accuracy: A feature selection and weighting approach with bi-directional LSTM and trend-preserving model bias correction M Rafi, QAK Mirza, MI Sohail, M Aliasghar, A Aziz, S Hameed IEEE Access 11, 65700-65710, 2023 | 7 | 2023 |
| A cloud-based energy efficient hosting model for malware detection framework QKA Mirza, I Awan, M Younas 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 7 | 2018 |
| Restful implementation of authorization mechanisms QKA Mirza Proceedings of the International Conference on Technology and Business …, 2011 | 3 | 2011 |
| Modern stylometry: A review & experimentation with machine learning C Muldoon, A Ikram, QAK Mirza 2021 8th International Conference on Future Internet of Things and Cloud …, 2021 | 2 | 2021 |
| Taxonomy-based intelligent malware detection framework QKA Mirza, F Hussain, I Awan, M Younas, S Sharieh 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 2 | 2019 |
| How to punish cyber criminals: A study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan N Khadam, N Anjum, A Alam, QA Mirza, M Assam, EAA Ismail, ... Heliyon 9 (12), 2023 | 1 | 2023 |
| A deep learning based scalable and adaptive feature extraction framework for medical images Z Loukil, QKA Mirza, W Sayers, I Awan Information Systems Frontiers, 1-27, 2023 | 1 | 2023 |
| A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition Z Loukil, QKA Mirza, W Sayers 2023 10th International Conference on Future Internet of Things and Cloud …, 2023 | | 2023 |
| From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches Z Loukil, QKA Mirza 2022 9th International Conference on Future Internet of Things and Cloud …, 2022 | | 2022 |
| An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks A Ahmed, S Hameed, M Rafi, QKA Mirza Cryptography and Security, arXiv, 2020 | | 2020 |
| A Cloud-Based Intelligent and Energy Efficient Malware Detection Framework. A Framework for Cloud-Based, Energy Efficient, and Reliable Malware Detection in Real-Time Based on … QKA Mirza University of Bradford, 2017 | | 2017 |
| Assessment and diagnostic workup of male hypogonadotrohic hypogonadism A Ahmed, Q Mirza, P Winocour Endocrine Abstracts 9, 2005 | | 2005 |
| FiCloud 2023 Program Committee SA Chun, Y Cardinale, Z Kazi-Aoul, L Belli, FF Chua, J Tuya, ... | | |
| An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks: SAD-F: Spark Based Anomaly Detection Framework QKALI MIRZA | | |
Muhammad YounasOxford Brookes University在 brookes.ac.uk 的电子邮件经过验证
