IMPROVING THE SECURITY OF SMART CONTRACTS THROUGH THE INTEGRATION OF MACHINE LEARNING: CHALLENGES AND PROSPECTS

Анотація

In today's digital world, smart contracts have become a fundamental element of blockchain ecosystems, offering automation, immutability and decentralization of transactions. However, with the growth of their popularity and application, the security issue of smart contracts comes to the fore, as vulnerabilities in their code can lead to significant financial losses and undermine trust in blockchain technologies. Traditional code analysis methods, while effective in certain contexts, have limitations that can make it difficult to detect complex vulnerabilities. In this context, machine learning opens up new horizons of possibilities, offering tools for deeper analysis and understanding of smart contract code, which can significantly improve the detection and correction of potential vulnerabilities.