As a side contribution, we construct and release a large-scale gambling dataset at to facilitate future research in this field. Interestingly, we present a novel LightGBM model with memory components, which possesses the ability to learn from its own misclassifications. The tool is able to automatically detect the smart contracts and addresses involved in gambling by scrutinizing the smart contract code and address transaction records. In order to discover gambling behaviors and identify the contracts and addresses involved in gambling, we propose a tool termed ETHGamDet. ![]() Compared with conventional gambling platforms, decentralized gambling has transparent rules and a low participation threshold, attracting a substantial number of gamblers. Meanwhile, decentralized applications have also attracted intense attention from the online gambling community, with more and more decentralized gambling platforms created through the help of smart contracts. ![]() With the popularity of cryptocurrencies and the remarkable development of blockchain technology, decentralized applications emerged as a revolutionary force for the Internet.
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