The thesis deals with blockchain technologies with a focus on NFTs (nonfungible tokens) and illegitimate cryptocurrencies. The research includes a comparative analysis of three groups of blockchain projects: established cryptocurrencies with their own blockchain, legitimate tokens on existing chains, and problematic projects without real value. By analyzing technical, economic, and social factors, we will identify key indicators that distinguish legitimate projects from scams. We will investigate patterns of price manipulation, token unlock mechanisms, ownership distribution, and marketing tactics. The analysis of 30 projects revealed a clear trimodal distribution of legitimacy scores, where all projects with scores above 75 remain operational, while all projects with scores below 40 represent documented scams. The final result will be a methodology for identifying risky projects and guidelines for safer participation in the blockchain ecosystem, which will contribute to greater user awareness and improved security practices.
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