Published Paper Details:

In today�s world large amount of data is generated in every field and banking industry is one of them. This data contains valuable information. Hence, it is very important to store, process, manage and analyze this data to extract knowledge from it. It helps to increase business profit. Banking industry plays very important role in economy of country. Customers are the main asset of the bank. Hence it is necessary to focus on problems faced by the banks. Frauds occurring now a days in banking sector are increasing a lot due to integration mobile banking and digital wallets. Fraud detection is not the only solution to tackle such problem, but it will surely help banks to keep track of fraudulent transactions and take necessary actions on them. Banks do have tremendous amount of sensitive data which cannot be shared with unauthorized person hence data security in this case plays a big role while extracting a specific knowledge from it. Here, we are working on customers and companies involved in transactions. Matching (checksum) the balance of transactions made and flag them as fraudulent if any. In this work, fuzzy logic algorithm is implemented for search purpose.