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2025-06-12
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Analysis of information security improvement approaches for robotic process automation in the design stage“ prepared by VILNIUS TECH, Anastasiya Kurylets. The dissertation was prepared in 2020–2025. Scientific Consultant – Prof. Dr Nikolaj Goranin.
The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Informatics Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a.m. on 12 June 2025.
Robotic process automation (RPA) is a family of business process automation technologies based on software robots and artificial intelligence. A software robot reproduces human actions by interacting with the interfaces of information systems. The scenario of its behaviour is programmed by the developer based on observing a real user performing a task using computer technology. It is assumed that RPA robots will soon free up a significant number of company personnel engaged in routine information processing. The use of technologies allows for reducing the number of employees performing routine work, increasing the speed of business processes, reducing the cost of operating the company, performing business processes at any time of the day, reducing the number of mistakes made by people, and increasing the volume of information processed. The dissertation is devoted to the urgent information security problem in the context of introducing RPA. Automating routine tasks performed by software robots creates new attack vectors and increases the potential surface for attackers’ intrusion. The dissertation reviews RPA technology and identifies its advantages and disadvantages, as well as proposes approaches to increase the level of security for RPA-based systems by creating OntoSecRPA – RPA security ontology, proposing the UMLRPASec extension, performing a threat analysis with the help of a modelling tool, and proposing BPMN extension allowing to visually track security problems arising during the operation of RPA system. The developed RPA security ontology allows for formalising security knowledge in the context of RPA, providing a unified understanding of threats, vulnerabilities and protection measures. This facilitates more effective risk analysis and selection of adequate security measures. A threat modelling tool enables the visualisation and analysis of potential attacks on RPA systems, which helps identify vulnerabilities in processes and develop effective protection measures. BPMN extensions for RPA allow modelling business and security processes, thus contributing to a more complete consideration of security requirements in the development and operation of RPA systems. UML-sec extensions for RPA allow for modelling and analysing security aspects at the system design level. The proposed approaches complement each other and provide a comprehensive approach to improving the security of RPA systems.
Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Informatics Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a.m. on 12 June 2025.
Robotic process automation (RPA) is a family of business process automation technologies based on software robots and artificial intelligence. A software robot reproduces human actions by interacting with the interfaces of information systems. The scenario of its behaviour is programmed by the developer based on observing a real user performing a task using computer technology. It is assumed that RPA robots will soon free up a significant number of company personnel engaged in routine information processing. The use of technologies allows for reducing the number of employees performing routine work, increasing the speed of business processes, reducing the cost of operating the company, performing business processes at any time of the day, reducing the number of mistakes made by people, and increasing the volume of information processed. The dissertation is devoted to the urgent information security problem in the context of introducing RPA. Automating routine tasks performed by software robots creates new attack vectors and increases the potential surface for attackers’ intrusion. The dissertation reviews RPA technology and identifies its advantages and disadvantages, as well as proposes approaches to increase the level of security for RPA-based systems by creating OntoSecRPA – RPA security ontology, proposing the UMLRPASec extension, performing a threat analysis with the help of a modelling tool, and proposing BPMN extension allowing to visually track security problems arising during the operation of RPA system. The developed RPA security ontology allows for formalising security knowledge in the context of RPA, providing a unified understanding of threats, vulnerabilities and protection measures. This facilitates more effective risk analysis and selection of adequate security measures. A threat modelling tool enables the visualisation and analysis of potential attacks on RPA systems, which helps identify vulnerabilities in processes and develop effective protection measures. BPMN extensions for RPA allow modelling business and security processes, thus contributing to a more complete consideration of security requirements in the development and operation of RPA systems. UML-sec extensions for RPA allow for modelling and analysing security aspects at the system design level. The proposed approaches complement each other and provide a comprehensive approach to improving the security of RPA systems.
Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
