2018
DOI: 10.1007/s11036-018-1047-6
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Incorporating FAIR into Bayesian Network for Numerical Assessment of Loss Event Frequencies of Smart Grid Cyber Threats

Abstract: In today's cyber world, assessing security threats before implementing smart grids is essential to identify and mitigate the risks. Loss Event Frequency (LEF) is a concept provided by the well-known Factor Analysis of Information Risk (FAIR) framework to assess and categorize the cyber threats into five classes, based on their severity. As the number of threats is increasing, it is possible that many threats might fall under the same LEF category, but FAIR cannot provide any further mechanism to rank them. In … Show more

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Cited by 6 publications
(4 citation statements)
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“…We also propose one additional topic for future research, i.e., the use of survey research in conjunction with the measurement of existing organizational cyber-security risks (see, for example, [70][71][72]) for the work-from-home context. While measurement of security risk is already taking place inside and at the boundary of organizations, it is important to understand the actual security practices, at least for a representative subset of employees and to contrast these results with self-reported measures.…”
Section: Discussionmentioning
confidence: 99%
“…We also propose one additional topic for future research, i.e., the use of survey research in conjunction with the measurement of existing organizational cyber-security risks (see, for example, [70][71][72]) for the work-from-home context. While measurement of security risk is already taking place inside and at the boundary of organizations, it is important to understand the actual security practices, at least for a representative subset of employees and to contrast these results with self-reported measures.…”
Section: Discussionmentioning
confidence: 99%
“…BNs are an effective method for handling human interactions [8], through modelling the aspect characteristics and psychological aspects. Le et al [6] is a smart grid framework using a combination of factor analysis of both factor analysis of information risk loss event frequency (FAIR LEF) and Bayesian networks to identify cyber-attacks, applying these cyber threats within the "Improving the Robustness of Urban Electricity Networks" (IRENE). The methodology does provide a structured process for analysing these attacks.…”
Section: Bayesian Network Methodologiesmentioning
confidence: 99%
“…However, it is also highly subjective regarding weights associated with different key metrics across the ToE within the context regarding SCI. To compensate for this, most of the methodologies adopted a duel-modelling method approach through supporting logic [37,56] or supplementary methods [6,38,55] to further improve the accuracy and reliability of proposals. Furthermore, they provide an effective representative conditional overview through node CPT for specifically insider threats, which can be seen in [31] BN work and could be studied into how it could be applied for a CPS.…”
Section: Modelling Process and Structurementioning
confidence: 99%
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