Author

Luis Alberto López Alvar

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#reinforcement learning Open access Oct 2026

A Systematic Survey of Smart Contract Fuzzing : Methods, Techniques, and Architectures for Ethereum and Beyond

Blockchain architectures increasingly rely on smart contracts as programmable execution components, yet the security challenges they introduce remain only partially addressed. Fuzz testing has emerged as one of the leading automated techniques for smart contract vulnerability discovery; however, a systematic treatment...

Luis Alberto López Alvar, Luis de la Torre, Zehua (David) Wang et al. · Open Collections · 0 citations

#reinforcement learning Review Open access Sep 2026

A Systematic Survey of Smart Contract Fuzzing: Methods, Techniques, and Architectures for Ethereum and Beyond

A conceptual taxonomy establishing an explicit correspondence between classical and smart contract fuzzing is developed and an architectural taxonomy of representative fuzzers unified under a generalised waypoint architecture is presented that exposes key feedback domains and composition gaps.

Luis Alberto López Alvar, L. de la Torre, Ze-Hua Wang et al. · Applied Sciences · 0 citations