| Inferring connected IoT devices from IPFIX records in residential ISP networks A Pashamokhtari, N Okui, Y Miyake, M Nakahara, HH Gharakheili 2021 IEEE 46th Conference on Local Computer Networks (LCN), 57-64, 2021 | 19 | 2021 |
| Progressive monitoring of iot networks using sdn and cost-effective traffic signatures A Pashamokhtari, HH Gharakheili, V Sivaraman 2020 Workshop on Emerging Technologies for Security in IoT (ETSecIoT), 1-6, 2020 | 10 | 2020 |
| Adiotack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on iot networks A Pashamokhtari, G Batista, HH Gharakheili Computers & Security 120, 102801, 2022 | 7 | 2022 |
| PhD forum abstract: Dynamic inference on IoT network traffic using programmable telemetry and machine learning A Pashamokhtari 2020 19th ACM/IEEE International Conference on Information Processing in …, 2020 | 7 | 2020 |
| PicP-MUD: Profiling information content of payloads in MUD flows for IoT devices A Pashamokhtari, A Sivanathan, A Hamza, HH Gharakheili 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and …, 2022 | 5 | 2022 |
| Combining stochastic and deterministic modeling of IPFIX records to infer connected IoT devices in residential ISP networks A Pashamokhtari, N Okui, Y Miyake, M Nakahara, HH Gharakheili IEEE Internet of Things Journal 10 (6), 5128-5145, 2022 | 2 | 2022 |
| Efficient IoT Traffic Inference: from Multi-View Classification to Progressive Monitoring A Pashamokhtari, G Batista, HH Gharakheili ACM Transactions on Internet of Things 5 (1), 1-30, 2023 | 1 | 2023 |
| Dynamic Inference from IoT Traffic Flows under Concept Drifts in Residential ISP Networks A Pashamokhtari, N Okui, M Nakahara, A Kubota, G Batista, ... IEEE Internet of Things Journal, 2023 | 1 | 2023 |
| Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks A Pashamokhtari, N Okui, M Nakahara, A Kubota, G Batista, ... arXiv preprint arXiv:2301.06695, 2023 | 1 | 2023 |
| Managing Networked IoT Assets Using Practical and Scalable Traffic Inference A Pashamokhtari arXiv preprint arXiv:2310.10657, 2023 | | 2023 |
| AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks A Pashamokhtari, G Batista, H Habibi Gharakheili Computers & Security 120, 2022 | | 2022 |
