Kolisnichenko V. Methods and software tools for analysis of blockchain transactions

The dissertation is devoted to the development of methods and tools for the analysis of blockchain transactions. The developed methods can be directly or indirectly applied both to the analysis of transactions and to the study of blockchain networks in general. Analysis of blockchain networks, namely blockchain transactions, is an important task in the blockchain industry. In this context, focusing on blockchain transactions is not just an academic interest, but also a practical necessity to ensure the security, efficiency and stability of the network. Developers are constantly working on debugging the operation of blockchain nodes, which is extremely important for maintaining the reliability of the network. This includes not only finding and fixing bugs in the code, but also optimizing performance and scalability. In this context, transaction analysis helps to identify and solve problems that can affect the operation of nodes. Researchers use transaction analysis to identify potentially inefficient locations in the network. This includes studying traffic patterns, processing requests, and analyzing latency and throughput. Such analysis can reveal bottlenecks that need optimization or even predict potential problems that may arise in the future. Vulnerability detection through analysis of blockchain transactions is important for network security and for investigating past attacks. This includes tracking suspicious or unusual transactions that may indicate attempted fraud, embezzlement, denial-of-service (DoS) attacks, or other security threats. Transaction analysis is becoming a key tool in the fight against cybercrime and ensuring trust in blockchain technology. The purpose of the dissertation is to improve the effectiveness of software tools for analyzing blockchain transactions by improving and developing new algorithmic and software methods.