Gao, YuanBen Zid, InesLou, XinxinParekh, MithilDraude, ClaudeLange, MartinSick, Bernhard2019-08-272019-08-272019978-3-88579-689-3https://dl.gi.de/handle/20.500.12116/25065Security Certifications based on international standards, like ISO 27000 and IEC 62443 series, are strongly favored by industrial manufactures and (critical) facility owners. However, comparing to mature safety certification procedures, there is only a small portion of security certifications available on the market for the booming Industry 4.0 solutions and IoT/IIoT products. The major challenge is how to define a practical working scope, which is compatible with frequent system updates as well as creations of new systems by coupling supplier services. Meanwhile, the potential security impacts should be quantitatively predictable since some of them are tolerable, which are different from most of safety constraints. Thus, in this paper, we proposed an operational security model, which intends to support monitoring and analysis on a dynamically running system. It was extended from the 3-domains security model we proposed in previous work by introducing run-time perspectives and procedures. In addition, cooperating with the security in design concept, the proposed operational procedures were developed following the guidance of the security standard series IEC 62443. For addressing the external threats, Open Source Intelligence (OSINT) were involved to query whether some confidential information, like user-credentials and system vulnerabilities are already collected and publicly known to adversaries. The introduction of OSINT can support more transparent risk assessment approaches. As the conclusion, with the operational security model, we proposed a hybrid approach which consists of security certifications and continuous monitoring/consulting to solve the current challenge.enSecurity ModelOperational Security ModelSecurity OperationContinuous MonitoringOSINTFunctional SafetyIEC 62443Industry 4.0IoTIIoTOperational Security Modeling and Analysis for IACSText/Conference Paper10.18420/inf2019_ws311617-5468