Transaction Fraud Detection (Anomaly detection) using Machine Learning

Anomaly detection with Machine learning

Economic Machine Learning for Fraud Detection

Fraud Detection - Machine learning to the rescue

Transaction-based Anomaly Detection

The increasing complexity of both tele and data communication networks yields new demands concerning network security. Especially the task of detecting, repulsing and preventing abuse by inand outsiders is becoming more and more difficult. This paper deals with a new technique that appears to be suitable for solving these issues, i.e. anomaly detection based on the specification of transactions...

Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms

Anomaly detection is the practice of identifying items or events that do not conform to an expected behavior or do not correlate with other items in a dataset. It has previously been applied to areas such as intrusion detection, system health monitoring, and fraud detection in credit card transactions. In this paper, we describe a new method for detecting anomalous behavior over network perform...