Anti-fraud system for blockchain networks

This study addresses the critical issue of user security and safety within the blockchain ecosys-
tem, which is often compromised due to the pseudo-anonymous nature of blockchain addresses.
By leveraging historical on-chain data, the research develops and implements a system for eval-
uating and rating blockchain addresses, thereby reducing the risk of fraud and enhancing user
trust in blockchain transactions. The study also involves the implementation of a voting smart
contract, further contributing to the security measures within the blockchain ecosystem. The
findings of this research could have significant implications for user adoption and the overall
user experience within the blockchain ecosystem. However, it’s important to note that the find-
ings of this research do not directly contribute to enhancing the reliability of the blockchain
system. Future research in this area could focus on user testing and further refinement of the
rating algorithm, as well as exploring other potential factors that could improve UX and safety
of blockchain systems for the end users.