Towards the Development of a Realistic Multidimensional IoT Profiling Dataset. - Sajjad Dadkhah; Hassan Mahdikhani; Priscilla Kyei Danso; Alireza Zohourian; Kevin Anh Truong; Ali A. Ghorbani 001 (PST, 2022)

Fragile Watermarking Based on QR Decomposition and Fourier Transform. - Fatemeh Nejati; Hedieh Sajedi; Alireza Zohourian (Wirel. Pers. Commun., 2022)

Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. - Priscilla Kyei Danso; Heather Molyneaux; Alireza Zohourian; Euclides Carlos Pinto Neto; Derrick Whalen; Sajjad Dadkhah; Ali A. Ghorbani 001 (HCI (35), 2023)

IoT Zigbee device security: A comprehensive review. - Alireza Zohourian; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Hassan Mahdikhani; Priscilla Kyei Danso; Heather Molyneaux; Ali A. Ghorbani 001 (Internet Things, 2023)

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment. - Euclides Carlos Pinto Neto; Sajjad Dadkhah; Raphael Ferreira; Alireza Zohourian; Rongxing Lu; Ali A. Ghorbani 001 (Sensors, 2023)

IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks. - Alireza Zohourian; Sajjad Dadkhah; Heather Molyneaux; Euclides Carlos Pinto Neto; Ali A. Ghorbani 001 (Comput. Secur., 2024)

Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification. - Priscilla Kyei Danso; Sajjad Dadkhah; Euclides Carlos Pinto Neto; Alireza Zohourian; Heather Molyneaux; Rongxing Lu; Ali A. Ghorbani 001 (IEEE Internet Things J., 2024)