12 citations · 12 across the 3 of their papers we have counts for
3 papers
Maintaining IoT Device Identification under Concept Drift via Budget-Aware Traffic Labeling
Shayan Azizi, Norihiro Okui, Masataka Nakahara +3
Identification of IoT device types from passive traffic is increasingly used for security management in enterprise and ISP networks. However, the performance of machine learning-ba…
Instance-Wise Monotonic Calibration by Constrained Transformation
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
Deep neural networks often produce miscalibrated probability estimates, leading to overconfident predictions. A common approach for calibration is fitting a post-hoc calibration ma…
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista +1
Network traffic classification is of great importance for network operators in their daily routines, such as analyzing the usage patterns of multimedia applications and optimizing…