Hamed Aboutorab
Orcid: 0000-0002-9285-9917
According to our database1,
Hamed Aboutorab
authored at least 20 papers
between 2018 and 2025.
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Bibliography
2025
Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks.
CoRR, April, 2025
RLSA-PFL: Robust Lightweight Secure Aggregation with Model Inconsistency Detection in Privacy-Preserving Federated Learning.
CoRR, February, 2025
ConceptUML: Multiphase unsupervised threat detection via latent concept learning, Hidden Markov Models and topic modelling.
J. Inf. Secur. Appl., 2025
The evolving threat landscape of botnets: Comprehensive analysis of detection techniques in the age of artificial intelligence.
Internet Things, 2025
Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics.
Proceedings of the Information Security and Privacy - 30th Australasian Conference, 2025
2024
J. Netw. Comput. Appl., 2024
Shared file protection against unauthorised encryption using a Buffer-Based Signature Verification Method.
J. Inf. Secur. Appl., 2024
Expert Syst. Appl., 2024
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems.
Comput. Secur., 2024
Comput. Electron. Agric., 2024
Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia.
IEEE Access, 2024
A Lightweight Detection of Sequential Patterns in File System Events During Ransomware Attacks.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Named Entity Recognition in Construction Supply Chain Risk Management Using Transformer-Based Models and Genetic Algorithm-Driven Hyperparameter Tuning.
Proceedings of the International Conference on Electrical, 2024
2023
IEEE Trans. Serv. Comput., 2023
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), 2023
2022
A reinforcement learning-based framework for disruption risk identification in supply chains.
Future Gener. Comput. Syst., 2022
2021
Int. J. Syst. Assur. Eng. Manag., 2021
A survey on the suitability of risk identification techniques in the current networked environment.
J. Netw. Comput. Appl., 2021
2018
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development.
Expert Syst. Appl., 2018