Hybrid Federated Learning Framework for APT Attack Chain Detection and Privacy Enhancement
This paper introduces a time-series graph neural network detection model to achieve accurate perception and correlation analysis of multi-stage behaviors of APT attacks and constructs a two-layer federated learning framework of horizontal cross-organization collaboration and vertical multi-feature fusion.
Jie Ji, Shihuang Qiu, Shengpeng Ye et al.
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