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Found 4 papers, 2 papers with code
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
The experiment results show that TREC significantly outperforms state-of-the-art systems in APT tactic recognition and TREC can also effectively identify APT techniques.
A Heterogeneous Graph Learning Model for Cyber-Attack Detection
To effective and efficient detect cyber-attacks from a huge number of system events in the provenance data, we firstly model the provenance data by a heterogeneous graph to capture the rich context information of each system entities (e. g., process, file, socket, etc.
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
In order to address the challenge that the transferabilities of different sensors are different, we propose SALIENCE (unsupervised user adaptation model for multiple wearable sensors based human activity recognition) model.
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
Existing air quality forecasting methods cannot effectively model the diffusion processes of air pollutants between cities and monitoring stations, which may suddenly deteriorate the air quality of a region.
