Опрацювання запитів контенту CSAF документів з використанням API на основі grapHQL
Security advisories serve as an essential resource for individuals tasked with ensuring safety, as they offer information about vulnerabilities and the impacted IT systems and software components. These advisories are released by manufacturers, IT security experts, or coordinating organizations to a...
Збережено в:
| Дата: | 2024 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Vinnytsia National Technical University
2024
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| Теми: | |
| Онлайн доступ: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/729 |
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| Назва журналу: | Optoelectronic Information-Power Technologies |
Репозитарії
Optoelectronic Information-Power Technologies| Резюме: | Security advisories serve as an essential resource for individuals tasked with ensuring safety, as they offer information about vulnerabilities and the impacted IT systems and software components. These advisories are released by manufacturers, IT security experts, or coordinating organizations to assist users in comprehending vulnerabilities and taking steps to either eliminate or reduce them. The lack of a standardized format across different manufacturers has made working with security advisories more complex for IT security professionals. The Common Security Advisory Framework (CSAF) was introduced to address this issue, providing a standardized format for security advisories. Consequently, certain advisories are now offered in the CSAF format. The increase in the number of CSAF documents affects the processing time of these documents by IT security specialists.
To improve the efficiency of processing these queries, this paper proposes to focus on documents containing specific content, rather than processing all documents. To do this, it proposes to use GraphQL, an open source data query language that allows for efficient formalization of CSAF document queries. This paper aims to implement a GraphQL-based API to improve the efficiency of processing CSAF document queries. |
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