Anomaly detection in cybersecurity and fraud applications

摘要

A technique includes acquiring a plurality of records, each record having a corresponding number of attributes determining, based on local density measurements for numeric and normally distributed attribute value frequency measure for categorical attributes tags in the training portion of the plurality of records which is then used in probabilistic classifier for anomaly detection. A second set of implementations is proposed using ensemble method of combining deep learning algorithms for the same.