Vladimir Dimitrov

@uni-sofia.bg

Faculty of Mathematics and Informatics
Sofia University "St. Kliment Ohridski"



              

https://researchid.co/cht_co
29

Scopus Publications

Scopus Publications

  • CVE (NVD) Ontology


  • CVE (NVD) Ontology Generator


  • IoT Security Issues


  • Technological Considerations on the Legal Regulation in the Use of Robotic Security Assistants


  • Classification of software security tools


  • Building an ontology for CWE from the point of view of architectural concept


  • Adapted SANS cybersecurity policies for nist cybersecurity framework


  • CPE ontology


  • CPE ontology generator


  • iRobot robots for education


  • APPLYING THE KNOWLEDGE BASE OF CWE WEAKNESSES IN SOFTWARE DESIGN
    Zh. E. Sartabanova, V. T. Dimitrov, and S. M. Sarsimbayeva
    al-Farabi Kazakh National University

  • Cloud infrastructure for research and education at university of sofia


  • Annotation of CVE descriptions


  • An ontology of top 25 CWEs


  • Research on the development and implementation of augmented reality technologies


  • Modelling of CWEs on the CWE-287 example


  • Multidimensional data analysis with OLAP


  • Clouds of JINR, university of Sofia and INRNE - Current state of the project


  • Multidimensional analysis of data based on OLAP technology


  • Problems of date and time data types in relational model of data


  • Clouds of JINR, University of Sofia and INRNE join together


  • Information disclosure in software intensive systems


  • Security issues formalization


  • New Horizons in Data Analytics
    Seth Earley, Maria R. Lee, Jinan Fiaidhi, and Vladimir Dimitrov
    Institute of Electrical and Electronics Engineers (IEEE)
    Analytics has become a hot topic, putting increased pressure on IT organizations to provide new ways of making sense of customer and operational data. This issue is devoted to the theme of data analytics with application in four areas related to knowledge development and utilization: the institution of education itself, optimizing knowledge sharing in communities, gaining and applying business insights, and the state of the knowledge and skills gap in China.

  • Fuzzy indication of reliability in metagenomics NGS data analysis
    Milko Krachunov, Dimitar Vassilev, Maria Nisheva, Ognyan Kulev, Valeriya Simeonova, and Vladimir Dimitrov
    Elsevier BV
    NGS data processing in metagenomics studies has to deal with noisy data that can contain a large amount of reading errors which are difficult to detect and account for. This work introduces a fuzzy indicator of reliability technique to facilitate solutions to this problem. It includes modified Hamming and Levenshtein distance functions that are aimed to be used as drop-in replacements in NGS analysis procedures which rely on distances, such as phylogenetic tree construction. The distances utilise fuzzy sets of reliable bases or an equivalent fuzzy logic, potentially aggregating multiple sources of base reliability.