dataset_SC_Vuln

Securing smart grids relies in part on the reliable integration of blockchain technologies for the automation of energy transactions. However, the presence of vulnerabilities in smart contracts poses a direct threat to the integrity and resilience of these critical systems. This work presents a unique and structured dataset of real-world vulnerabilities observed in smart contracts, intended for cybersecurity research applied to smart energy infrastructures. By centralizing and categorizing these flaws, the dataset allows for better training and evaluation of automatic anomaly detection tools, anticipating attacks, and strengthening trust in smart grid blockchain architectures. It constitutes an essential resource for cybersecurity researchers and engineers seeking to reduce the attack surface of blockchain-based smart energy systems.