An efficient data flow material model (DFMM) for cyber security risk assessment in real time server

Abstract

Cyber system evaluates security threat through application of independent physical system. The cyber system provides information about real time vulnerabilities which embedded with controllers and networks for cyber assessment process. In this paper, a Data Flow Material Model (DFMM) is proposed for risk assessment in corporate server. The proposed model incorporates flow of data between various base station in real time server. The estimation is based on the collection of cyber attacks within the system and examination of the risk vulnerabilities. Based on the risk scoring, cyber risk classification of RT server, BPCS and HMI is examined. The proposed DFMM exhibited that attacks significantly prevented risk in control system. In test bed scenario, cyber attacks are significantly reduced.