IIoT-ARAS: IIoT/ICS Automated Risk Assessment System for Prediction and Prevention
IIoT-ARAS: IIoT/ICS Automated Risk Assessment System for Prediction and Prevention
复制标题
IIoT-ARAS:用于预测和预防的 IIoT/ICS 自动风险评估系统
DOI:
10.1145/3422337.3450320
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Ali-Gombe, Aisha
中科院分区:
文献类型:
--
作者:
Zahran, Bassam;Hussaini, Adamu;Ali-Gombe, Aisha
As IT/OT convergence continues to evolve, the traditionally isolated ICS/OT systems are increasingly exposed to a myriad of online and offline threats. Although IIoT enhances the reachability in ICS, improved data analytics, ensuring ease of access and decision making, it unwittingly opens the ICS environment to attackers. The design of IIoT introduces multiple entry points to an isolated system, which is used to protect itself via air-gapping and risk avoidance strategies. This study explores a comprehensive mapping of threats and risks for IT/OT convergence. Additionally, we propose IIoT-ARAS - an automated risk assessment system based on OCTAVE Allegro and ISO/IEC 27030 methodologies. The design of IIoT-ARAS is aimed to be agentless, with minimum interruptions to the OT environment. Furthermore, the system performs automated regular asset inventory checks, threshold optimization, probability computation, risk evaluations, and contingency plan configuration.