Enhancing Credit Card Data Security Using AI-integrated Encryption and Tokenization Framework

In an age dominated by the rapid advancement of digital transactions, safeguarding sensitive financial information in cloud computing, particularly credit card data, has become increasingly crucial. Traditional security measures in financial cloud computing have shown weaknesses in ensuring the confidentiality, privacy and integrity of data, leaving unencrypted information vulnerable to unauthorized access and exposure. This paper introduces an innovative method called Tokenized Elliptic-Homomorphic Cryptography (TE-HC) which improves the financial information security in cloud computing. Additionally, Artificial Intelligence (AI) is integrated to detect whether the data is normal or potentially intrusive in financial information. Consisting of merchant and tokenization modules along with a token vault, the system enables secure transmission and validation of credit card details. Implemented results demonstrate its effectiveness, speed, while comparative analyses showcase its superior performance in credit card security. Overall, TE-HC offers enhanced security, efficiency and user experience, presenting a compelling solution to the critical challenges of protecting credit card data in the digital age.