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cs.LG2025
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
Qiuliuyang Bao, Jiawei Wang, Hao Gong +3
This paper proposes an algorithm based on a staged sliding window Transformer architecture to detect abnormal behaviors in the microstructure of the foreign exchange market, focusi…
cs.LG2024★ 1 cited
Research on Dynamic Data Flow Anomaly Detection based on Machine Learning
Liyang Wang, Yu Cheng, Hao Gong +3
The sophistication and diversity of contemporary cyberattacks have rendered the use of proxies, gateways, firewalls, and encrypted tunnels as a standalone defensive strategy inadeq…