Author

E. Kirda

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#machine learning Preprint Oct 2026

WADE: An LSTM-Based Anomaly Detection Engine for WebAssembly Applications

WebAssembly (Wasm) enables near-native performance for web applications through a portable and sandboxed execution model. However, its limited runtime protection mechanisms (e.g., the lack of stack canaries and address space layout randomization (ASLR)) leave Wasm applications vulnerable to traditional attacks. We pres...

Ilaria Campestrini, S. Zanero, E. Kirda · 0 citations