PhD Forum Abstract: Dynamic Inference on IoT Network Traffic using Programmable Telemetry and Machine Learning. - Arman Pashamokhtari (IPSN, 2020)

Inferring Connected IoT Devices from IPFIX Records in Residential ISP Networks. - Arman Pashamokhtari; Norihiro Okui; Yutaka Miyake; Masataka Nakahara; Hassan Habibi Gharakheili (LCN, 2021)

PicP-MUD: Profiling Information Content of Payloads in MUD Flows for IoT Devices. - Arman Pashamokhtari; Arunan Sivanathan; Ayyoob Hamza; Hassan Habibi Gharakheili (WoWMoM, 2022)

AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks. - Arman Pashamokhtari; Gustavo Batista; Hassan Habibi Gharakheili (Comput. Secur., 2022)

Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks. - Arman Pashamokhtari; Norihiro Okui; Masataka Nakahara; Ayumu Kubota; Gustavo Batista; Hassan Habibi Gharakheili (CoRR, 2023)

Managing Networked IoT Assets Using Practical and Scalable Traffic Inference. - Arman Pashamokhtari (CoRR, 2023)

Combining Stochastic and Deterministic Modeling of IPFIX Records to Infer Connected IoT Devices in Residential ISP Networks. - Arman Pashamokhtari; Norihiro Okui; Yutaka Miyake; Masataka Nakahara; Hassan Habibi Gharakheili (IEEE Internet Things J., 2023)

Dynamic Inference From IoT Traffic Flows Under Concept Drifts in Residential ISP Networks. - Arman Pashamokhtari; Norihiro Okui; Masataka Nakahara; Ayumu Kubota; Gustavo Batista; Hassan Habibi Gharakheili (IEEE Internet Things J., 2023)

Efficient IoT Traffic Inference: From Multi-view Classification to Progressive Monitoring. - Arman Pashamokhtari; Gustavo Batista; Hassan Habibi Gharakheili (ACM Trans. Internet Things, 2024)