Fraud detection is a research area that focuses on developing methods and techniques to identify and prevent fraudulent activities in various domains such as finance, healthcare, and online transactions. This field typically involves using data analysis, machine learning algorithms, and statistical techniques to detect patterns and anomalies that may indicate fraudulent behavior. The goal of fraud detection research is to improve the accuracy and efficiency of fraud detection systems, leading to better protection of individuals, organizations, and systems from potential fraudsters.