computer virus spread

Researchers have developed a boosted physics-informed neural network capable of tracking the spread of computer viruses, including cases with vertical transmission, where malware passes from a system to its derivatives. The approach combines physics-based modeling with machine learning to better predict how infections propagate through networks. Coverage so far is limited to a single specialist outlet, and details on validation or real-world testing are not yet available.