Fraud Analytics for Wireless Sensor Networks

Wireless Sensor Networks (WSN) are deployed at locations where continuous monitoring is required. Physical protection for these sensor devices is hectic task and this is an opportunity for establishment of fraudulent connections by fraudsters and delivering fault responses. This badly affects the monitoring system and as a result the chances of false alarm are increased which badly degrades the performance of system. To avoid these fault alarms, fraud analytics is applied in this paper to differentiate actual monitored values and fault values. The main intention of this paper is to develop an Hadoop based fraud analytics mechanism to detect faults in Wireless Sensor Network reporting system and which helps in improving the performance of the monitoring system.