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@article{185306,
        author = {Mohammed Suhail A and Sreeram K Y},
        title = {Multivariate Analysis in Forensic Approaches to Tackling Fake Cryptocurrencies and Valuation Fraud},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {1262-1267},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185306},
        abstract = {Cryptocurrencies are digital assets that run over a blockchain network and are secured by cryptography that guarantees transaction anonymity and integrity. They are decentralized financial tools that broke away from the supervision of traditional institutions like banks or governments. Users have autonomy but also face new challenges. This study offers a forensic perspective for identifying the valuation fraud and counterfeit cryptocurrencies, emphasizing the need to comprehend and control associated risks. Examining both conventional and socalled cryptocurrencies, it reveals the causes of illegal activities such supply manipulation, speculative trading, and fraudulent schemes. The study also emphasizes the risks associated with utilizing third-party applications, which typically lack strong cyber security safeguards, for digital currency transactions. In the case of digital currency, these disadvantages put users at risk of financial exploitation, theft, and data breaches. Thus, they facilitate ransomware attacks, identity theft, and other illicit financial operations. This research shows how investigators can follow the trail of digital money to break up fraud networks and make online security better. It suggests that we need stricter rules, continuous improvement in investigation techniques, and better education for users to keep the digital world safe. By combining forensic science with advanced analysis, we aim to keep the market fair, protect investors, and build trust in cryptocurrency markets.},
        keywords = {cryptocurrency, blockchain, cyber, online frauds, valuation fraud.},
        month = {October},
        }