Centralized server based ATM security system with statistical vulnerability prediction capability

This paper proposes an architecture to develop an ATM security system with a centralized private server for monitoring all the ATMs in a city. Security related information is captured using a wide variety of sensors and switches and this information is processed and sent to a central server for further analysis and data presentation. Information from the sensors is sent continuously in real time to build a database. The system performs statistical vulnerability analysis using the data received from various sensors from different ATMs and assigns a vulnerability quotient to all the ATMs. Thus, helps to be a central system for identifying security gaps in a particular ATM. This system seeks to be a proactive measure to prevent risks associated with ATMs.