Abstract
Cyber-Security in the Internet of Things (IoT) is a major concern for information exploitation which hinder the growth of information system. To address security levels and issues, security risk assessment is considered an effective tool for system security, products, process, and readiness. Effective system vulnerabilities guidance is involved in the prioritization of security risk assessment. At present, the differential equation provides a significant tool for risk assessment. However, for second-order derivatives, the error rate is higher which impacts on overall risk assessment model. To overcome those limitations, this paper presented Decision Support Light Weight Risk Assessment Model (DSLiRAM). The proposed DSLiRAM is the domain-specific framework for security assessment. The proposed DSLiRAM is adopted in four stages for the specification of practices applied for cybersecurity and organizational characteristics. The proposed DSLiRAM includes a fuzzy differential equation with a second-order derivative. To minimize error rate Taylor series expansion is integrated with Fredholm for risk assessment. The proposed DSLiRAM is examined in three scenarios, RT server, BPCS, and HMI. Analysis of results stated that the proposed DSLiRAM significantly predicts risk and prevents the attack.
Highlights
Cyber-Security on the Internet of Things (IoT) is a major concern for information exploitation which hinder the growth of information system
This paper proposed a Decision Support Light Weight Risk Assessment Model (DSLiMAP) model for cybersecurity risk assessment and prediction
The proposed Decision Support Light Weight Risk Assessment Model (DSLiRAM) is examined with Real-Time (RT) server for legitimate access used for data logging
Summary
The CPS security is considered as a research community based on international standards. In [15] focused on run time attack environment with a CPS security development mechanism. The developed approach performance is examined through assessment of attack and prevention mechanisms for the industrial control system. The CPS security tested provides components for software and hardware for industrial communication standards. The analysis stated that False Data Injection (FDI) exhibits adversary performance for physical later security. The developed CPS model comprises of CSTR model for Wireless Sensor Actuator Network (WSAN) with remote control through HMI. In [24] presented CSTR approach for elucidating the feedback control dynamic interaction and system for classical model-based system. Through analysis tested involved in the estimation of control-theoretical approach for cyber-attack detection in risk assessment. The proposed DSLiRAM estimate the error values are measured for evaluation of cybersecurity risk assessment and prediction
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