|Project Description: ||E-commerce is the current trending topic in the online shopping market. With ever increasing popularity, the payment methods used are more prone to fraudulent attacks with misuse of credit/debit cards or personal information. Such attacks are more in the case of CNP (card not present) type of transactions based on recent report from FICO Analytic Software Company which looks after FICO score, a measure of consumer credit risk. This project presents an approach with less information needed from consumer standpoint for online e-commerce transactions. This approach uses discrete cosine transformation (DCT) and permutative straddling method with its high capacity and more efficiency in embedding data.