Publicaciones (22) Publicaciones de Mahmoud Abbasi Nokar

2024

  1. Proof-of-resource: A resource-efficient consensus mechanism for IoT devices in blockchain networks

    EAI Endorsed Transactions on Internet of Things, Vol. 10

  2. Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification

    IEEE Transactions on Machine Learning in Communications and Networking, Vol. 2, pp. 221-239

2022

  1. A comparative study on online machine learning techniques for network traffic streams analysis

    Computer Networks

  2. Active Learning for Network Traffic Classification: A Technical Study

    IEEE Transactions on Cognitive Communications and Networking, Vol. 8, Núm. 1, pp. 422-439

  3. FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification

    Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022

  4. Mental Health Disorders in Circumcised Reproductive-age Women, Legal Dimensions and Prevention Strategies: A Narrative Review

    Revista Brasileira de Ginecologia e Obstetricia, Vol. 45, Núm. 5, pp. 281-288

  5. Security in the Internet of Things Application Layer: Requirements, Threats, and Solutions

    IEEE Access, Vol. 10, pp. 97197-97216

2021

  1. Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey

    Computer Communications, Vol. 170, pp. 19-41

  2. Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey

    Engineering Applications of Artificial Intelligence

  3. Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks

    FlexNets 2021 - Proceedings of the 4th FlexNets Workshop on Flexible Networks, Artificial Intelligence Supported Network Flexibility and Agility, Part of SIGCOMM 2021

  4. Synchronization Techniques in “Device to Device- and Vehicle to Vehicle-Enabled” Cellular Networks: A survey

    Computers and Electrical Engineering, Vol. 90

2019

  1. Internet of Things in agriculture: A survey

    Proceedings of 3rd International Conference on Internet of Things and Applications, IoT 2019