Projects / Programmes
Artificial intelligence for cybersecurity
| Code |
Science |
Field |
Subfield |
| 2.08.00 |
Engineering sciences and technologies |
Telecommunications |
|
| Code |
Science |
Field |
| 2.02 |
Engineering and Technology |
Electrical engineering, Electronic engineering, Information engineering |
Cybersecurity, artificial intelligence, situation analysis, comparative assessment
Researchers (4)
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
18 |
Abstract
Advanced technologies that promise more effective cybersecurity provision include artificial intelligence (AI), which is especially useful in analysing and processing a large number of security-relevant events and in detecting and responding to unknown threats and forms of cyber attacks. In addition to appropriate competences and joint collaboration, information on research gaps in this field and R&D capabilities and comparative advantages of Slovenia are also important for more efficient research and development and the breakthrough of Slovenian security solution providers on the EU and global markets. The main objectives of the proposed project are therefore: - Analysis of the situation in the field of AI for cybersecurity and its comparative assessment with regard to the current situation in EU member states or in the developed world; - Identification of (potential) areas where Slovenia has comparative advantages and development potential, and preparation of guidelines proposals for development. To achieve the goals, the project will first form taxonomy of UI methods for cybersecurity provision, which will serve as a framework for analysing the scientific literature and existing research in Slovenia, the EU and the developed world, and identifying and presenting research gaps in the field. The gaps will be identified in accordance with the methodology that we have successfully used in the past in the EU FP7 COURAGE project when preparing a research plan to combat cybercrime. In addition to the analysis of scientific and professional literature, the basis for the situation analysis and the identification of gaps will be the results of past and ongoing EU projects and programs, studies conducted by the European Cyber Security Organization (ECSO) and four pilot cybersecurity competence centres (CONCORDIA, CyberSec4Europe, Sparta and Echo), as well as reports from organizations such as the European Union Network and Information Security Agency (ENISA), Europol, the OECD, etc. Relevant observatories, such as AI Watch, the OECD AI Observatory and European Cybersecurity Atlas, will also be considered. Furthermore, the capabilities of Slovenian service and solution providers in the fields of AI and cybersecurity will be analysed. The providers will be identified in collaboration with Strategic research and innovation partnership Smart cities and communities (SRIP PMiS), initiative AI4SI and sections ZIT and SeKV of the Chamber of Commerce and Industry of Slovenia. The collected data will provide a better insight into the state of AI in cybersecurity in Slovenia and enable the situation analysis and the preparation of a comparative assessment and the identification of potential areas in which Slovenia has comparative advantages or development potential. The results will be useful not only for the co-financer, but also for Slovenian research organizations and companies. In the new financial perspective 2021-2027, the co-financier will be able to optimally allocate funds to the cybersecurity research and development areas that have higher potential and impact. Slovenian companies will be offered a better insight into the possibilities of using AI for cybersecurity provision. Service and application providers will be introduced to research and development areas where there is a higher chance of developing competitive security solutions and breakthroughs on a European and global scale, which will also facilitate integration into EU research and development programs. On the other hand, the results of the project will provide end-users with insights into AI-based cybersecurity, for example in critical sectors such as energy or eHealth, facilitating the deployment of AI and security services in the private and public sectors.
