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Alireza Zohourian
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2020 – today
- 2024
- [j5]Alireza Zohourian, Sajjad Dadkhah, Heather Molyneaux, Euclides Carlos Pinto Neto, Ali A. Ghorbani:
IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks. Comput. Secur. 146: 104034 (2024) - [j4]Priscilla Kyei Danso, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Alireza Zohourian, Heather Molyneaux, Rongxing Lu, Ali A. Ghorbani:
Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification. IEEE Internet Things J. 11(2): 2322-2335 (2024) - 2023
- [j3]Alireza Zohourian, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Hassan Mahdikhani, Priscilla Kyei Danso, Heather Molyneaux, Ali A. Ghorbani:
IoT Zigbee device security: A comprehensive review. Internet Things 22: 100791 (2023) - [j2]Euclides Carlos Pinto Neto, Sajjad Dadkhah, Raphael Ferreira, Alireza Zohourian, Rongxing Lu, Ali A. Ghorbani:
CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment. Sensors 23(13): 5941 (2023) - [c2]Priscilla Kyei Danso, Heather Molyneaux, Alireza Zohourian, Euclides Carlos Pinto Neto, Derrick Whalen, Sajjad Dadkhah, Ali A. Ghorbani:
Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. HCI (35) 2023: 622-642 - 2022
- [j1]Fatemeh Nejati, Hedieh Sajedi, Alireza Zohourian:
Fragile Watermarking Based on QR Decomposition and Fourier Transform. Wirel. Pers. Commun. 122(1): 211-227 (2022) - [c1]Sajjad Dadkhah, Hassan Mahdikhani, Priscilla Kyei Danso, Alireza Zohourian, Kevin Anh Truong, Ali A. Ghorbani:
Towards the Development of a Realistic Multidimensional IoT Profiling Dataset. PST 2022: 1-11
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