Interval Estimation of Information Risks with use of Fuzzy Grey Cognitive Maps

Vasilyev, V. I.; Vulfin, Alexey; Guzairov, Murat; Kirillova, A. D.

doi:10.17587/it.24.657-664

Cited by 3 publications

(2 citation statements)

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“…The basis of building FGCM is the Grey Systems Theory, proposed in 1989 by Deng [10]. Within the framework of this theory, objects and systems with high uncertainty, represented by small samples of incomplete and inaccurate data, are studied.…”

Section: Theoretical Foundations Of Building Fgcmmentioning

confidence: 99%

“…A promising way to solve this problem is the use of technology of cognitive modeling, based on construction and analysis of fuzzy grey cognitive maps (FGCM), which has been widely used in recent years [5][6][7][8][9][10]. Fuzzy grey (interval) cognitive maps are considered to be a good extension of fuzzy cognitive maps (FCM) family, since they are better suited to experts representations, have a greater interpretability and provide more degrees of freedom to the decision making person on the basis of modeling results.…”

Section: Introductionmentioning

confidence: 99%

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Cybersecurity Risk Analysis of Industrial Automation Systems on the Basis of Cognitive Modeling Technology

Vasilyev¹,

Vulfin²,

Chernyakhovskaya³

2020

Digital Forensic Science

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The issues of procuring the cybersecurity of modern industrial systems and networks acquire special urgency because of imperfection of their protection tools and presence of vulnerabilities. International standards ISA/IEC 62443 offer the system risk-oriented approach to solve the tasks of providing the security of industrial control systems (ICS) at all stages of life cycle. But in view of high uncertainty and complexity of procedure of formalizing the factors affecting the final indices of system security, the problem of cybersecurity risk assessment remains open and requires applying new approaches based on the technology of data mining and cognitive modeling. Cognitive modeling of risk assessment using fuzzy grey cognitive maps (FGCM) allows us to take into account the uncertainty factor arising in the process of vulnerability probability assessment for each of security nodes. The interval estimates of FGCM connection weights can reflect the scatter of expert group opinions that allows us to take into account more completely the data available for risk analysis. The main stages of ICS security assessment with use of FGCM are analyzed in the chapter on the example of distributed industrial automation network. The recommendations concerning the choice of the necessary countermeasures improving the level of network security in the conditions of possible external and internal threats are considered.

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Section: Theoretical Foundations Of Building Fgcmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cybersecurity Risk Analysis of Industrial Automation Systems on the Basis of Cognitive Modeling Technology

Vasilyev¹,

Vulfin²,

Chernyakhovskaya³

2020

Digital Forensic Science

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Secure Data Exchange in the Industrial Internet of Things Network of the Fuel and Energy Complex

Emil

Vulfin

Mironov

et al. 2020

2020 International Conference on Electrotechnical Complexes and Systems (ICOECS)

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Geographic Information System as a Tool of Public Health Monitoring in Rospotrebnadzor and Health Care Structures Given the Example of Sanitary and Hygienic Surveillance of Water Resources: Analytical Review

Kalyuzhin,

Latyshevskaya,

Bayrakova

et al. 2024

PH&LE

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Background: Challenges of using geographic information systems (GIS) in public health monitoring are considered. Objective: To review scientific literature on application of geographic information systems as a tool of public health monitoring used to control the sanitary and epidemiological state of the environment, including water bodies, and of health care. Methods: We studied the conceptual apparatus of a geographic information system, analyzed publications describing the use of this tool in the sanitary and hygienic surveillance of water bodies and the prospects for the development and improvement of this system. We examined topical papers published in 2008–2022 and found in searchable electronic databases (Web of Science, Scopus, PubMed, eLIBRARY, and ResearchGate) using the following keywords: geographic information system (GIS), sanitary and epidemiological control, public health, water. Of 154 initially identified sources, we selected 53 publications on the experience of using geographic information systems by ministries, federal executive bodies, scientific and higher educational institutions, and also analyzed seven regulatory documents, directly or indirectly regulating the work of geographic information systems. Results and discussion: This review considers the possibility of using a geographic information system as a model for coordinating the activities of local and regional state sanitary and epidemiological surveillance on priority issues related to public health protection. The geographic information system in this case is considered as a single coordination center that ensures accumulation, analysis and visualization of sanitary and epidemiological information on biological contamination of water bodies. Along with the importance and application of GIS, part of the review is devoted to examples of implementation and shortcomings of existing tools, emphasizing the necessity to create a new “unified” software product able to provide “effective” consolidation of information on the sanitary and epidemiological safety of the use of water resources. Conclusion: A geographic information system is not only an effective tool for storing, systematizing and analyzing incoming information on biological contamination of water bodies, but also one of the modern techniques solving such a practical problem as the feasibility of sanitary and hygienic monitoring of water quality and health protection in the population using this water source.

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Interval Estimation of Information Risks with use of Fuzzy Grey Cognitive Maps

Cited by 3 publications

References 0 publications

Cybersecurity Risk Analysis of Industrial Automation Systems on the Basis of Cognitive Modeling Technology

Cybersecurity Risk Analysis of Industrial Automation Systems on the Basis of Cognitive Modeling Technology

Secure Data Exchange in the Industrial Internet of Things Network of the Fuel and Energy Complex

Geographic Information System as a Tool of Public Health Monitoring in Rospotrebnadzor and Health Care Structures Given the Example of Sanitary and Hygienic Surveillance of Water Resources: Analytical Review

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