Mohammad Tahir

Lecturer

University of Turku

Finland

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Mohammad Tahir is a Lecturer at the University of Turku, Finland. His research areas focus on machine learning applications in communications network security, Internet of Things (IoT) authentication, and intelligent healthcare systems. Recent publications include work on resource consumption in machine learning, AI-enhanced threat intelligence, and energy-efficient resource allocation in 5G networks.

Mohammad Tahir

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Articles (16)

On resource consumption of machine learning in communications network security

Trust-Aware Authentication and Authorization for IoT: A Federated Machine Learning Approach

AI-Enhanced Threat Intelligence in Remote Patient Monitoring Systems: A Survey on Recent Advances, Challenges and Future Research Directions

Dataset for authentication and authorization using physical layer properties in indoor environment

6G and intelligent healthcare: Taxonomy, technologies, open issues and future research directions

Toward Autonomic Internet of Things: Recent Advances, Evaluation Criteria, and Future Research Directions

Perspective—6G and IoT for Intelligent Healthcare: Challenges and Future Research Directions

Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning

Industrial datasets with ICS testbed and attack detection using machine learning techniques

A survey of empirical performance evaluation of permissioned blockchain platforms

An Intelligent Clustering-Based Routing Protocol (CRP-GR) for 5G-Based Smart Healthcare Using Game Theory and Reinforcement Learning

Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction

Anomaly detection in ICS datasets with machine learning algorithms

Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions

Energy-efficient ultra-dense 5G networks: Recent advances, taxonomy and future research directions

A Strategic and Significant Method for the Optimal Placement of Phasor Measurement Unit for Power System Network

Collaborators (2)

Nader Sohrabi Safa

Jouni Isoaho

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