Utilizing Artificial Immune System to Improve Account Takeover Fraud Detection

Abstract

The rise of e-banking and plastic money has increased the risk of account takeover fraud, resulting in unauthorized transactions and identity theft. To counter this, the paper suggests using artificial immune systems that mimic the human immune system's adaptive and memory mechanisms, predator-prey response and pattern recognition. By incorporating concepts such as immune learning along with memory and adaptive immune response into machine learning algorithms, fraud detection accuracy can be significantly improved. This approach holds great promise in effectively combating fraud in our increasingly digital world.

Topics & Concepts