Dynamic spatial and temporal system for authentication of electronic interactions between electronic devices

This system aims to prevent unauthorized online transactions. It works by analyzing past fraudulent money transfers, noting where, when, and from what device they occurred, to identify patterns. Based on these patterns, it creates a virtual boundary, or geo-fence, and then applies stricter authentication rules for any transaction requests originating from within that specific area. A particular version of the system uses machine learning to predict future fraud and defines the geo-fence using a simple radius.