The dissertation aims to enhance the cybersecurity of multi-functional fleets of unmanned aerial vehicles (UAVs) by developing and implementing methods and tools for risk-oriented assessment and selection of countermeasures, taking into account combined cyberattacks.
The overarching objective involves the development of models, methods, and tools for the analysis and cybersecurity of multi-functional fleets of UAVs under conditions of both individual and combined attacks. The specific tasks include:
1. Analysis of functions, technologies, and methods for evaluating and ensuring the cybersecurity of UAV systems, with a justification of the research's purpose, tasks, and methodology.
2. Development of conceptual and mathematical models for the cyber-physical system of multi-functional fleets of UAVs as the object of cybersecurity assessment.
3. Formulation of a method for analyzing cyber threats, consequences, and the criticality of individual and combined attacks on the assets of the cyber-physical system.
4. Refinement of the method for selecting a set of countermeasures to ensure the cybersecurity of the cyber-physical system, considering various components of cybersecurity and addressing both individual and combined cyberattacks.
5. Development of algorithms, software tools, and information technology for conducting analysis and selecting countermeasures to ensure the cybersecurity of multi-functional fleets of UAVs.
6. Implementation of the proposed methods and tools in state and international research projects and educational programs, as well as in substantiating security requirements for UAV systems.
Novel scientific results include:
1. Introduction of models for the cyber-physical system of multi-functional fleets of UAVs, providing a theoretical-multiset representation of software and hardware components at different hierarchy levels, intruders, threats, vulnerabilities, and attacks.
2. Enhancement of the IMECA analysis method, detailing the impact on various security properties and subsystems, along with the development of models for combined sequential-parallel cyberattacks by different perpetrators and means.
3. Improvement of the method for selecting countermeasures by forming a set of countermeasures considering the influence on different cybersecurity components under conditions of individual and combined cyberattacks, using directed search procedures for coverage options.
The proposed methods and tools have been implemented in the educational process of the department, contributing to the training of bachelor's, master's, and doctoral students specializing in Cybersecurity and Information Protection. Moreover, they have been applied in scientific research projects commissioned by the Ministry of Education and Science of Ukraine, including the FLINT project led by Dr. Harchenko V.S. and the GRANIT project led by Dr. Sklyar V.V.
