arXiv:2611.00971v1 Announce Type: new Abstract: Understanding the malware propagation dynamics over the Internet is crucial for effectively controlling its spread. Existing mechanistic and data-driven models in the context of malware propagation dynamics, have some issues with either interpretability or predictive accuracy.
E-UDE: A Scientific Machine Learning Model for Malware Propagation Dynamics
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