Items where Gloucestershire Author is "Ali Mirza, Qublai"

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Article

Khadam, Nadia, Anjum, Nasreen ORCID: 0000-0002-7126-2177, Alam, Abu S, Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Assam, Muhammad, Ismail, Emad A.A. and Abonazel, Mohamed R. (2023) How to punish cyber criminals: a study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan. Heliyon, 9 (12). e22823. doi:10.1016/j.heliyon.2023.e22823

Loukil, Zainab ORCID: 0000-0003-2731-7051, Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Sayers, William ORCID: 0000-0003-1677-4409 and Awan, Irfan (2023) A Deep Learning Based Scalable and Adaptive Feature Extraction Framework for Medical Images. Information Systems Frontiers. doi:10.1007/s10796-023-10391-9 (In Press)

Rafi, Muhammed, Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Sohail, Muhammad Izaan, Aliasghar, Maria, Aziz, Arisha and Hameed, Sufian (2023) Enhancing cryptocurrency price forecasting accuracy: a feature selection and weighting approach with bi-directional LSTM and trend-preserving model bias correction. IEEE Access, 11. pp. 65700-65710. doi:10.1109/ACCESS.2023.3287888

Ahmed, Awais, Hameed, Sufian, Muhammad, Rafi and Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935 (2020) An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks SAD-F: Spark Based Anomaly Detection Framework. IEEE Access, 8. pp. 219483-219502. doi:10.1109/access.2020.3042905

Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Awan, Irfan and Younas, Muhammad (2018) CloudIntell: An intelligent malware detection system. Future Generation Computer Systems, 86. pp. 1042-1053. doi:10.1016/j.future.2017.07.016

Book Section

Loukil, Zainab ORCID: 0000-0003-2731-7051, Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935 and Sayers, William ORCID: 0000-0003-1677-4409 (2024) A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition. In: 2023 10th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp. 270-277. ISBN 9798350316353

Loukil, Zainab and Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935 (2022) From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches. In: 2022 9th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp. 119-133. ISBN 9781665493512

Muldoon, Connagh, Ikram, Ahsan and Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935 (2021) Modern Stylometry: A Review & Experimentation with Machine Learning. In: 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp. 293-298. ISBN 9781665425759

Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Brown, Martin, Halling, Oliver, Shand, Louie and Alam, Abu (2021) Ransomware Analysis using Cyber Kill Chain. In: 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE Xplore, pp. 58-65. ISBN 978-1-6654-2575-9

Conference or Workshop Item

Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Hussain, F., Awan, Irfan, Younas, M. and Sharieh, S. (2020) Taxonomy-Based Intelligent Malware Detection Framework. In: IEEE Global Communications Conference: Revolutionizing Communications, 9-13 December 2019, Waikoloa, HI, USA. ISSN 2576-6813

Namanya, Anitta Patience, Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Al-Mohannadi, Hamad, Awan, Irfan U. and Disso, Jules Ferdinand Pagna (2016) Detection of Malicious Portable Executables Using Evidence Combinational Theory with Fuzzy Hashing. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, 22-24 Aug. 2016, Vienna, Austria. ISBN 9781509040520

Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Mohi-Ud-Din, Ghulam and Awan, Irfan (2016) A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications, 23-25 March 2016, Crans-Montana, Switzerland.

This list was generated on Wed Jul 17 09:55:12 2024 UTC.

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