Fraud Detection Using Machine Learning and Blockchain

نویسندگان

چکیده

In the 21st century financial fraud is on rise in many institutions. Newly released Federal Trade Commission data shows that consumers reported losing nearly $8.8 billion to 2022, an increase of more than 30 percent over previous year. The main goal for us develop efficient detection system and utilize blockchain create a decentralized banking application. Our team has collaborated various cutting-edge technologies, such as machine learning blockchain, sophisticated system. We have implemented three algorithms, namely Logistic Regression, Decision Tree, Random Forest, which been used improve accuracy model detecting fraudulent activities. As aversion, we Blockchain technology provides tamper-proof can securely record track transactions, ensuring transparency security. This feature makes it ideal solution prevention, guarantees all transactions are legitimate free from any manipulations. By combining power technology, our confident providing innovative will benefit stakeholders involved

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ژورنال

عنوان ژورنال: International Journal on Recent and Innovation Trends in Computing and Communication

سال: 2023

ISSN: ['2321-8169']

DOI: https://doi.org/10.17762/ijritcc.v11i6s.6970