Výsledky vyhledávání - "Vulnerability categorization."

Akademický článek

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities

Autor: Peng Liu, Wenzhe Ye, Haiying Duan, Xianxian Li, Shuyi Zhang, Chuanjian Yao, Yongnan Li

Publikováno v: Cybersecurity, Vol 6, Iss 1, Pp 1-15 (2023)

Abstract Vulnerability reports are essential for improving software security since they record key information on vulnerabilities. In a report, CWE denotes the weakness of the vulnerability and thus helps quickly understand the cause of the vulnerabi

Externí odkaz: https://doaj.org/article/9fdae8e06c4a401ca9058495a2f9addf

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Akademický článek

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Akademický článek

Modeling and Characterizing Software Vulnerabilities

Autor: Navneet Bhatt, Adarsh Anand, V. S. S. Yadavalli, Vijay Kumar

Publikováno v: International Journal of Mathematical, Engineering and Management Sciences, Vol 2, Iss 4, Pp 288-299 (2017)

With the association of software security assurance in the development of code based systems; software developers are relying on the Vulnerability discovery models to mitigate the breaches by estimating the total number of vulnerabilities, before the

Externí odkaz: https://doaj.org/article/3025c4ac6943469095a7eebb1eb8af4d

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Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management

Autor: Mike Anastasiadis, Georgios Aivatoglou, Georgios Spanos, Antonis Voulgaridis, Konstantinos Votis

Publikováno v: 2022 IEEE International Conference on Cyber Security and Resilience (CSR)

Software vulnerability management constitutes a prominent research area for security analysts and researchers. One of the main pillars of the software vulnerability management is the grouping of vulnerabilities that have similar characteristics in or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f676cde80dfbd172a954e4f6b3191de9
https://zenodo.org/record/7843953

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A tree-based machine learning methodology to automatically classify software vulnerabilities

Autor: Mike Anastasiadis, Georgios Aivatoglou, Dimitrios Tzovaras, Antonis Voulgaridis, Georgios Spanos, Konstantinos Votis

Publikováno v: 2021 IEEE International Conference on Cyber Security and Resilience (CSR)
CSR

Software vulnerabilities have become a major problem for the security analysts, since the number of new vulnerabilities is constantly growing. Thus, there was a need for a categorization system, in order to group and handle these vulnerabilities in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d6e0ef1f49f13af1b9722843c092e5
https://zenodo.org/record/7843944

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Conference

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Community Based Platform for Vulnerability Categorization

Autor: Jana Komárková, Lukas Sadlek, Martin Lastovicka

Publikováno v: NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium
NOMS

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 granula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a7bc84e3e76e47730a0885df0d556c
https://is.muni.cz/publication/1407187

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Categorizing software vulnerabilities using overlapping self-organizing map

Autor: Hassanvand, Sima, Ghasemzadeh, Mohammad

Software has always been vulnerable to various vulnerably issues. Increasing the number of vulnerabilities and their complexity in the software area has made it more important to categorize them. In this research work, by selecting the MoSCoW priorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e125f9de6da7a0c079db0d6dd8d5dee9

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Akademický článek

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Conference

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