Accès libre

Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency

Gani Zogaj

Gani Zogaj

Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Recherchez cet auteur sur
Sciendo|Google Scholar
Zogaj, Gani
, 
Florie Ismaili

Florie Ismaili

Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Recherchez cet auteur sur
Sciendo|Google Scholar
Ismaili, Florie
, 
Ermira Idrizi

Ermira Idrizi

Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Recherchez cet auteur sur
Sciendo|Google Scholar
Idrizi, Ermira
 et 
Artan Luma

Artan Luma

Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Recherchez cet auteur sur
Sciendo|Google Scholar
Luma, Artan
  
30 juin 2025
Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency's Cover Image
À propos de cet article
Article précédent
Article suivant
Citez
Télécharger la couverture
Publié en ligne: 30 juin 2025
Pages: 136 - 152
DOI: https://doi.org/10.2478/seeur-2025-0021
Mots clés
© 2025 Gani Zogaj et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Zogaj, Gani
Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Ismaili, Florie
Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Idrizi, Ermira
Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Luma, Artan
Faculty of Contemporary Sciences and Technologies, South East European UniversityTetovo, North Macedonia
Langue:
Anglais
Périodicité:
2 fois par an
Sujets de la revue:
Intérêt général
RSS Feed de la revue