The BCCC-SCsVuls-2024 dataset is a comprehensive resource for analyzing and detecting vulnerabilities in Solidity-based smart contracts, featuring 111,897 meticulously labeled samples across 11 vulnerabilities such as Re-entrancy (17,698), IntegerUO (16,740), DenialOfService (12,394), and Secure contracts (26,914). The dataset was curated from reputable sources like Smart Bugs, Ethereum SCs, and SmartScan-Dataset, ensuring diverse and representative vulnerability coverage. All entries were processed into SHA-256 hashes to maintain integrity and uniqueness, eliminating duplicates. This dataset provides a robust foundation for developing and testing vulnerability detection models for smart contracts, advancing research in blockchain security.
The full research paper outlining the details of the dataset and its underlying principles:
"Unveiling Smart Contracts Vulnerabilities: Toward Profiling Smart Contracts Vulnerabilities using Enhanced Genetic Algorithm and Generating Benchmark Dataset", Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui, Blockchain: Research and Applications, December 2024, 100253
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