Attestation committee
Accreditation committee
Expert committee
Dispositions, instructions
Normative acts
Nomenclature
Institutions
Scientific councils
Seminars
Theses
Scientific advisers
Scientists
Doctoral students
Postdoctoral students
CNAA logo

 română | русский | english


Decision Support Systems for Identification and Minimizing Cyber Security Risks in Critical Infrastructures


Author: Buzdugan Aurelian
Degree:doctor of physics and mathematics
Speciality: 01.05.01 - Theoretical foundation of computer science; programming
Year:2023
Scientific adviser: Gheorghe Căpăţână
doctor, professor, Moldova State University
Institution: Moldova State University

Status

The thesis was presented on the 30 November, 2022
Approved by NCAA on the 24 February, 2023

Abstract

Adobe PDF document1.02 Mb / in romanian
Adobe PDF document1.07 Mb / in english

Thesis

CZU 004.056(043.3)

Adobe PDF document 2.91 Mb / in romanian
167 pages


Keywords

decision support systems, critical infrastructures, cyber risk management, language system, presentation system, human dimension, a model for cyber security maturity assessment, knowledge base, intelligent formal metric system, application architecture

Summary

The structure of the thesis: The thesis consists of an Introduction, three chapters. Conclusions and Recommendations, Bibliography of 191 titles. The main text amounts to 131 pages, including 17 figures, 4 tables and 7 annexes. The obtained results were published in 28 scientific papers with a volume of over 7 sheets of author.

Research purpose: develop, evaluate and validate the use of a decision support system (DSS) in managing cyber risks in critical infrastructures (CI).

Research objectives: review the use of DSS in risk management in the context of CIs; identify the elements and peculiar requirements when developing the concept of using a DSS in a context and environment where safety requirement is critical; evaluate the factors and their impact upon perceived efficiency of information systems; develop and validate a model, metric intelligent formal system and application to evaluate cyber security maturity in CI; evaluate and propose recommendations on the cyber security legal framework in CI in the Republic of Moldova.

The scientific novelty and originality: an innovative DSS concept, an evaluation model of cybersecurity maturity and DSS efficiency, a knowledge base, a metric intelligent formal system, and a software prototype implementing this system. The prototype also enables the application of the cybersecurity assessment model and presents the results through an easy-to-use interface and easy-to-understand metrics.

The main scientific problem solved: ensuring CI cyber security through an innovative solution based on an DSS concept developed as a module and intended to identify, classify and manage cyber risks in СI.

The theoretical significance: a developed concept of DSS for cybersecurity maturity assessment. The concept is supplemented by an applicable model for external assessment or self-assessment of CI cybersecurity. Additionally, a metric intelligent formal system and a software prototype implementing the selected evaluation process were developed.

The applicative value: a model for DSS efficiency evaluation, a metric intelligent formal system and a software prototype.

The implementation of results: the DSS model has been awarded the Bronze Medal at CadetINOVA 2021 - Innovation and Scientific Research Exhibition, Bronze medal at the International Exhibition of Inventions and Innovations „Traian Vuia” 2022, has been positively evaluated and assessed as applicable for the CI domain by the Slovenian Nuclear Security Administration, National Institute of Metrology from Moldova, Technical University of Moldova, as well as included in the master's degree curriculum in „Nuclear and Radiological Safety” within Technical University of Moldova. The copyright on the intelligent formal metric system has been registered with AGEPI.