In this paper, we propose a machine learning based approach for proxy detection with NetFlow data, which only contains session-level statistical information.
Towards Aggregated Features: A Novel Proxy Detection Method ...
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In this paper, we propose a machine learning based approach for proxy detection with NetFlow data, which only contains session-level statistical information.
We extract features through NetFlow data aggregation to build machine learning model and verify the performances on different combinations of features to get ...
This paper proposes a machine learning based approach for proxy detection with NetFlow data, which only contains session-level statistical information, ...
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data ... novel techniques to overcome the challenges imposed by the use of NetFlow data.
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data. P. Fu, Q. Yang, C. Liu, Z. Li, G. Gou, G. Xiong, and L. Guo.
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data. 集約型特徴に向けて:NetFlowデータを用いた新しいプロキシ検出法【JST・京大機械 ...
Nov 30, 2023 · in this paper, we propose a machine learning based approach for proxy detection with NetFlow data, which only contains session-level statistical ...
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data ... UMVD-FSL: Unseen Malware Variants Detection Using Few-Shot Learning · pdf ...
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data · Characterization of Tor Traffic using Time based Features · Behavior-Based Method ...