Extended Vulnerability Feature Extraction Based on Public Resources

Скорочена інформація про документ
dc.contributor.authorTatarinova, Y. Y.
dc.contributor.authorSinelnikova, O. I.
dc.date.accessioned2020-10-15T11:41:00Z
dc.date.available2020-10-15T11:41:00Z
dc.date.issued2019
dc.description.abstractenThe focus of this research is to define a framework that automatically analyses Common Vulnerabilities and Exposures (CVE) from public and disclosed resources and makes mapping to the target computer system. The current framework calculates risk assessment and estimates vulnerabilities impact according to the features of the target platform. In this paper, we describe the main vulnerability feature set, provide approaches for automatic extraction from databases and open resources. We evaluated and improved each obtaining approaches on the recent set of security vulnerabilities (2018 year database). Comparison obtained results with results of manual expert analysis is proved.uk
dc.format.pagerangePp. 59-67uk
dc.identifier.citationTatarinova, Y. Y. Extended Vulnerability Feature Extraction Based on Public Resources / Y. Y. Tatarinova, O. I. Sinelnikova // Theoretical and Applied Cybersecurity : scientific journal. – 2019. – Vol. 1, Iss. 1. – Pp. 59–67. – Bibliogr.: 25 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132019.1.169085
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/36773
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.sourceTheoretical and Applied Cybersecurity : scientific journal, 2019, Vol. 1, No. 1uk
dc.subjectinformation and feature extractionuk
dc.subjectCVEuk
dc.subjectvulnerability analysisuk
dc.subjectsecurity risk assessmentuk
dc.subject.udc004uk
dc.titleExtended Vulnerability Feature Extraction Based on Public Resourcesuk
dc.typeArticleuk

Файли

Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
TACS_1-1_2019_09.pdf
Розмір:
639.14 KB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз недоступний
Назва:
license.txt
Розмір:
9.06 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити

Зібрання

Theoretical and Applied Cybersecurity: scientific journal, Vol. 1, No. 1