A Dual-Stochastic Process Model for Surveillance Systems with the Uncertainty of Operating Environments Subject to the Incident Arrival and System Failure Processes

Surveillance system is widely used today to enhance the security level of the protected area. Reliability of the entire surveillance system is a critical issue since the breakdown of such system would leave the monitoring area unobserved and encountered much higher risk under the attacks. This paper presents a dual stochastic-process model for predicting the reliability of surveillance systems consisting of many subsystems (units) with considerations of the environmental factors, skill of intruder to avoid detection, the intrusion/incident arrival process and subsystem failure process. Several numerical examples are presented to illustrate the proposed model.