Designing an Intelligent Intrusion Detection System in the Electronic Banking Industry Using Fuzzy Logic

One of the most important obstacles to using Internet banking is the lack of Stability of transactions and some misuse in the course of transactions it is financial. That is why preventing unauthorized access Crime detection is one of the major issues in financial institutions and banks. In this article, a system of intelligence has been designed that recognizes Suspicious and unusual behaviors for users in the Internet banking system. Because the behavior of different users is accompanied by ambiguity and uncertainty, this system is designed based on fuzzy logic to identify user behavior and categorize suspicious behaviors of varying severity. The system applies a diagnostic process based on KDD data. The results show that in all validation algorithms, 2 to 5 percent improvement in detection is provided.