Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Modern EU research projects and the digital security ontology of Europe

Igor Sokolov    
Vasily Kupriyanovsky    
Dmitry Namiot    
Vladimir Sukhomlin    
Oleg Pokusaev    
Alexander Lavrov    
Yuri Volokitin    

Resumen

The article deals with issues related to cybersecurity in the digital economy. This paper provides a survey of research projects funded by the European Community, which address various issues of cybersecurity. The authors of the article believe that it will be useful for Russian researchers in this field to become familiar with the practice of the EU in this direction. Much attention is paid to the work on the creation of practical ontologies. Their results are published for wide discussion and practical use. The developed formal ontologies in artificial languages can be joined together and are designed to ensure the compatibility of data and applications, as well as their transparency throughout life cycles. It is the ontological approach that allows to calculate the basic control indicators of projects and, for example, to guarantee the fulfillment of the declared business rules.

 Artículos similares

       
 
Sharoon Saleem, Fawad Hussain and Naveed Khan Baloch    
Network on Chip (NoC) has emerged as a potential substitute for the communication model in modern computer systems with extensive integration. Among the numerous design challenges, application mapping on the NoC system poses one of the most complex and d... ver más
Revista: Algorithms

 
Myoung-Su Choi, Dong-Hun Han, Jun-Woo Choi and Min-Soo Kang    
Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognized as... ver más
Revista: Applied Sciences

 
Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma    
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for... ver más
Revista: Applied Sciences

 
Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin    
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha... ver más
Revista: Applied Sciences

 
Wujia Li, Jiang Fan, Hongbin Xu, Wang Zhao, Qingze Meng and Yumin Su    
The issue of fatigue in modern hydraulic pipelines is increasingly severe, and there remains a lack of effective prediction methods for pipeline fatigue life. In practical engineering, hydraulic pipelines are primarily subjected to random excitation and ... ver más
Revista: Applied Sciences