Imtiaz Ullah

11 papers B 1Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	An Anomaly Detection Model for IoT Networks based on Flow and Flag Features using a Feed-Forward Neural Network. CCNC Imtiaz Ullah, Qusay H. Mahmoud
2022	J	`jnl`	Design and Development of RNN Anomaly Detection Model for IoT Networks. IEEE Access Imtiaz Ullah, Qusay H. Mahmoud
2021	J	`jnl`	A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks. IEEE Access Imtiaz Ullah, Qusay H. Mahmoud
2021	J	`jnl`	Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks. IEEE Access Imtiaz Ullah, Qusay H. Mahmoud
2021	—	`conf`	Network Traffic Flow Based Machine Learning Technique for IoT Device Identification. SysCon Imtiaz Ullah, Qusay H. Mahmoud
2020	—	`conf`	A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks. Canadian AI Imtiaz Ullah, Qusay H. Mahmoud
2020	B	`conf`	A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks. SMC Imtiaz Ullah, Qusay H. Mahmoud
2019	—	`conf`	A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks. CCNC Imtiaz Ullah, Qusay H. Mahmoud
2017	—	`conf`	A filter-based feature selection model for anomaly-based intrusion detection systems. IEEE BigData Imtiaz Ullah, Qusay H. Mahmoud
2017	—	`conf`	A hybrid model for anomaly-based intrusion detection in SCADA networks. IEEE BigData Imtiaz Ullah, Qusay H. Mahmoud
2017	—	`conf`	An intrusion detection framework for the smart grid. CCECE Imtiaz Ullah, Qusay H. Mahmoud

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski