Cyber-Physical Security Assessment and Resilience of a Microgrid Testbed

Author(s):  
Said Ahmed-Zaid ◽  
Sin Ming Loo ◽  
Andres Valdepena-Delgado ◽  
Theron Beam
2020 ◽  
Vol 11 (2) ◽  
pp. 1055-1065 ◽  
Author(s):  
Venkatesh Venkataramanan ◽  
Adam Hahn ◽  
Anurag Srivastava

Author(s):  
Ladislav Mariš ◽  
Tomáš Loveček ◽  
Mike Zeegers

The security of infrastructure systems is increasingly associated and ties to ensuring a company's basic functional continuity. Increasing security and ultimately the resilience of infrastructure systems is significantly linked to the process of infrastructure security assessment. It is obvious that the basic pillar of ensuring the required level of security and resilience of infrastructure systems is the level of physical security. Therefore, the chapter will discuss the methods for physical security assessment with a link to the different nature of selected infrastructure systems. The basic logic will be the exploitation of qualitative-quantitative methods, assessing an existing or proposed security system, based on certain measurable values such as probability of detection, response force time, delay time and probability of correct and timely guard communication, where based on this data, the probability of interruption is estimated.


Author(s):  
Meghan A. Galiardi ◽  
Stephen J. Verz ◽  
Gabriel C. Birch ◽  
Jaclynn J. Stubbs ◽  
Bryana L. Woo ◽  
...  

Author(s):  
Daniel Lichte ◽  
Dustin Witte ◽  
Thomas Termin ◽  
Kai-Dietrich Wolf

AbstractThe importance of (physical) security is increasingly acknowledged by society and the scientific community. In light of increasing terrorist threat levels, numerous security assessments of critical infrastructures are conducted in practice and researchers propose new approaches continuously. While practical security risk assessments (SRA) use mostly qualitative methods, most of the lately proposed approaches are based on quantitative metrics. Due to little evidence of actual attacks, both qualitative and quantitative approaches suffer from the fundamental problem of inherent uncertainties regarding threats and capabilities of security measures as a result from vague data or the usage of expert knowledge. In quantitative analysis, such uncertainties may be represented by, e.g., probability distributions to reflect the knowledge on security measure performance available. This paper focuses on the impact of these uncertainties in security assessment and their consideration in system design. We show this influence by comparing the results of a scalar evaluation that does not take into account uncertainties and another evaluation based on distributed input values. In addition, we show that the influence is concentrated on certain barriers of the security system. Specifically, we discuss the robustness of the system by conducting quantitative vulnerability assessment as part of the SRA process of an airport structure example. Based on these results, we propose the concept of a security margin. This concept accounts for the uncertain knowledge of the input parameters in the design of the security system and minimizes the influence of these uncertainties on the actual system performance. We show how this approach can be used for vulnerability assessment by applying it to the initially assessed configuration of the airport structure. The results of this case study support our assumptions that the security margin can help in targeted uncertainty consideration leading to reduced system vulnerability.


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