Do a literature review for a project on using machine learning and data science

Do a literature review for a project on using machine learning and data science for Fraud Detection on Motor Insurance Claims. The aim of the project is to predict which motor insurance claims are fraudulent or suspected to be fraudulent. This is determined by minimizing costs.
A breakdown of the project:
– Take the dataset of unlabeled motor insurance claim data and use unsupervised techniques for Anomaly detection (mainly Isolation Forest)
– Use that result, oversample using SMOTE and then use classification (mainly XGBoost and Logistic Regression) to obtain a confusion matrix.
– Then that cost is minimized ( Benefit Optimization approach to the Evaluation of Classification Algorithms attached) by minimizing the cost of the False Positives and False Negatives
I attached a few papers that could be of assistance but please use other sources to make the literature review as best as possible.
Let me know if you have any questions or if I need to clarify anything

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