Mohammed M. Alani
Orcid: 0000-0002-4324-1774
According to our database1,
Mohammed M. Alani
authored at least 43 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
HoneyTwin: Securing smart cities with machine learning-enabled SDN edge and cloud-based honeypots.
J. Parallel Distributed Comput., 2024
Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions.
CoRR, 2024
A Hybrid Ensemble Learning-Based Intrusion Detection System for the Internet of Things.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024
Building Detection-Resistant Reconnaissance Attacks Based on Adversarial Explainability.
Proceedings of the 10th ACM Cyber-Physical System Security Workshop, 2024
2023
Internet Things, December, 2023
ARP-PROBE: An ARP spoofing detector for Internet of Things networks using explainable deep learning.
Internet Things, October, 2023
Comput. Secur., October, 2023
Comput. Electr. Eng., May, 2023
IEEE Trans. Ind. Informatics, 2023
XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning.
Sensors, 2023
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems.
CoRR, 2023
Proceedings of the Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), 2023
XMeDNN: An Explainable Deep Neural Network System for Intrusion Detection in Internet of Medical Things.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023
Proceedings of the IEEE Intl Conf on Dependable, 2023
Forensic Identification of Android Trojans Using Stacked Ensemble of Deep Neural Networks.
Proceedings of the Applied Cryptography and Network Security Workshops, 2023
2022
Sensors, 2022
Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks.
Trans. Emerg. Telecommun. Technol., 2022
Comput. Secur., 2022
BotStop : Packet-based efficient and explainable IoT botnet detection using machine learning.
Comput. Commun., 2022
A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems.
Comput. Networks, 2022
Comput. Networks, 2022
IEEE Access, 2022
DeepIIoT: An Explainable Deep Learning Based Intrusion Detection System for Industrial IOT.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022
2021
J. Reliab. Intell. Environ., 2021
Proceedings of the Intelligent Systems Design and Applications, 2021
2020
J. Reliab. Intell. Environ., 2020
Proceedings of the 28th International Conference on Software, 2020
2019
J. Reliab. Intell. Environ., 2019
A systematic review on the status and progress of homomorphic encryption technologies.
J. Inf. Secur. Appl., 2019
Proceedings of the 3rd International Conference on Cryptography, Security and Privacy, 2019
2018
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City, 2018
Detecting NDP Distributed Denial of Service Attacks Using Machine Learning Algorithm Based on Flow-Based Representation.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
2017
Proceedings of the Second International Conference on Advanced Wireless Information, 2017
Springer, ISBN: 978-3-319-54629-2, 2017
2016
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-41411-9, 2016
2014
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-05152-9, 2014
Proceedings of the 2014 IEEE International Conference on Control System, 2014
2012
Proceedings of the 2012 World Congress on Internet Security, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4245-4, 2012