Imtiaz Ullah

Orcid: 0000-0002-2952-7215

According to our database1, Imtiaz Ullah authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Design and Development of RNN Anomaly Detection Model for IoT Networks.
IEEE Access, 2022

An Anomaly Detection Model for IoT Networks based on Flow and Flag Features using a Feed-Forward Neural Network.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks.
IEEE Access, 2021

Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks.
IEEE Access, 2021

Network Traffic Flow Based Machine Learning Technique for IoT Device Identification.
Proceedings of the IEEE International Systems Conference, 2021

2020
A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

2017
An intrusion detection framework for the smart grid.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

A hybrid model for anomaly-based intrusion detection in SCADA networks.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A filter-based feature selection model for anomaly-based intrusion detection systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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