Monte-Carlo simulation and availability assessment of the smart building automation systems considering component failures and attacks on vulnerabilities

Abstract

The information and control system of smart building is considered as a set of subsystems including a building automation system (BAS) which has three-level structure (automation/control, communication, data base, cloud/management). BAS security and availability during its life cycle are assessed using the Markov models and Monte-Carlo simulation. Markov model is used to calculate BAS availability considering the possibility of recovery and different kinds of the faults. The Monte-Carlo simulation is applied to investigate any flow of intrusions into the BAS by analyzing system availability of a fault/vulnerability to occur during time depending on failure rate of its subsystems. The results of analytical and simulation modeling are compared to assure trustworthiness of availability assessment taking into account attacks on vulnerabilities.