Community Based Platform for Vulnerability Categorization

Autor:	Jana Komárková, Lukas Sadlek, Martin Lastovicka
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Community based Source code Computer science Impact assessment media_common.quotation_subject Vulnerability Categorization CVSS Vulnerability Attack graph Data science 03 medical and health sciences 0302 clinical medicine Categorization Raw data 030215 immunology media_common
Zdroj:	NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium NOMS
Popis:	Many approaches, such as attack graphs, require knowledge of vulnerability's properties such as impact, prereq- uisities, and exploitability. Currently, those properties are either categorized manually or too roughly. We present a program for granular, automated categorization of vulnerability. Further, we present a platform supporting researchers by gathering and sharing raw data about vulnerabilities and community labeled datasets. The source code of our categorization program is available on GitHub.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a7bc84e3e76e47730a0885df0d556c https://is.muni.cz/publication/1407187 Zobrazit plný text záznamu