Volotovskyi, O. та Banakh, R. та Piskozub, A. та Brzhevska, Zoreslava (2024) Automated security assessment of Amazon Web Services accounts using CIS Benchmark and Python 3 Cybersecurity Providing in Information and Telecommunication Systems II 2024, 3826. с. 363-371. ISSN 1613-0073
Текст
O_Volotovskyi_R_Banakh_A_Piskozub_Z_Brzhevska_CPITS_2024_3826.pdf Download (2MB) |
Анотація
This paper focuses on the security assessment of Amazon Web Services (AWS) accounts using the Center for Internet Security (CIS) benchmarks. Considering the rapid growth of digital technologies and the increasing reliance on cloud services for business and personal use, ensuring the security of data and accounts is paramount. The study aims to analyze and assess the security posture of AWS accounts, emphasizing automating this process through Python 3 while also exploring the application of CIS benchmarks specific to the platform. A thorough examination of existing security evaluation methods and tools is conducted, including practical tests to ensure that AWS accounts comply with CIS benchmark security standards. The paper highlights the benefits of streamlining and enhancing the process to improve overall efficiency by automating the security assessment. The findings offer valuable insights for businesses and individual AWS users, providing practical recommendations to strengthen data security and ensure high confidentiality, integrity, and availability. These recommendations can be a foundation for developing and implementing effective security strategies in cloud environments.
Тип елементу : | Стаття |
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Ключові слова: | AWS; CIS benchmarks; cloud security; automated security assessment; compliance; account security |
Типологія: | Статті у базах даних > Scopus |
Підрозділи: | Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка |
Користувач, що депонує: | Павло Миколайович Складанний |
Дата внесення: | 06 Груд 2024 09:00 |
Останні зміни: | 06 Груд 2024 09:00 |
URI: | https://elibrary.kubg.edu.ua/id/eprint/50183 |
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