Abstract: Graph-based representations of program behavior are a powerful foundation for machine learning-based malware detection. However, the large size and complexity of these behavior graphs pose ...
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us ...
Abstract: As cyberattacks grow increasingly sophisticated, modern Intrusion Detection Systems (IDS) demand more advanced techniques to detect malicious behavior. While heterogeneous graph neural ...
The model uses volatility, momentum, trend, and candle-structure features to generate a probability that QQQ will move UP or DOWN over the next 5 days.
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