ДОСЛІДЖЕННЯ МЕТОДІВ АВТОМАТИЧНОГО РЕЗЮМУВАННЯ ТЕКСТІВ НОВИН

Our research is aimed at analyzing and understanding fraudulent activities within the Ethereum network using intelligent analysis. With the increasing adoption of cryptocurrencies and the growing complexity of financial transactions, detecting fraudulent behavior has become a challenging task. The goal of our work is to leverage intelligent analysis techniques to detect, analyze, and prevent fraudulent transactions in real time. We consider various aspects of fraudulent activities, including transaction patterns and network behaviors, to develop a comprehensive approach to their identification and mitigation. Our research aims to develop innovative techniques and tools to help organizations effectively combat fraud within the Ethereum network, safeguarding their financial assets and ensuring the integrity of transactions.