Visible to the public An intelligent system for user behavior detection in Internet Banking

TitleAn intelligent system for user behavior detection in Internet Banking
Publication TypeConference Paper
Year of Publication2015
AuthorsAlimolaei, S.
Conference Name2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)
Date Publishedsep
KeywordsAnti-money Laundering, Banking, banking profitability, behavioural sciences computing, Credit cards, customer satisfaction, Cyber Attacks, e-banking services security, expert systems, financial crime, fraud, fuzzy expert system, fuzzy systems, fuzzy theory, intelligent system, Intelligent systems, Internet, Internet banking, Internet fraud, Internet-based development, loyal customers, Online banking, online banking systems, prosperity, pubcrawl170109, receiver operating characteristic curve, Receivers, security, security of data, security threat, sensitivity analysis, suspicious behaviors, Suspicious Financial Transactions, user abnormal behavior, user behavior detection, virtual societies
Abstract

Security and making trust is the first step toward development in both real and virtual societies. Internet-based development is inevitable. Increasing penetration of technology in the internet banking and its effectiveness in contributing to banking profitability and prosperity requires that satisfied customers turn into loyal customers. Currently, a large number of cyber attacks have been focused on online banking systems, and these attacks are considered as a significant security threat. Banks or customers might become the victim of the most complicated financial crime, namely internet fraud. This study has developed an intelligent system that enables detecting the user's abnormal behavior in online banking. Since the user's behavior is associated with uncertainty, the system has been developed based on the fuzzy theory, This enables it to identify user behaviors and categorize suspicious behaviors with various levels of intensity. The performance of the fuzzy expert system has been evaluated using an receiver operating characteristic curve, which provides the accuracy of 94%. This expert system is optimistic to be used for improving e-banking services security and quality.

DOI10.1109/CFIS.2015.7391642
Citation Keyalimolaei_intelligent_2015