Journal ArticleUnknown
Bank Fraud Detection using Community Detection Algorithm
Authors
Author Affiliations
Rangamati Science and Technology University, University of Science and Technology Chittagong, Southern University, University of Dhaka, ...
Published In2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)
Year2020
Citations60
Abstract
Bank fraud is a federal crime that involves fraudulent attempts aims for monetary gains by deceiving financial institutions. Every year, banks and financial institutions lose billions due to fraud. Fraudsters tempt bankers through scams to gain financial assets. The most common types of bank fraud include debit and credit card fraud, account fraud, insurance fraud, money laundering fraud, etc. Bankers are obliged to safeguard their financial assets as well as institutional integrity to armored the global financial system. Anti-fraud guard systems are regularly circumvented by fraudsters' dodging techniques. This paper proposed a system to detect bank fraud using a community detection algorithm that identifies the patterns that can lead to fraud occurrences. An agile method was used to design the…
View at Publisher
BORR does not host full-text PDFs. The button above takes you to the original publisher.