Automated security assessment of Amazon Web Services accounts using CIS Benchmark and Python 3

Volotovskyi, O. and Banakh, R. and Piskozub, A. and 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. pp. 363-371. ISSN 1613-0073

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: AWS; CIS benchmarks; cloud security; automated security assessment; compliance; account security
Subjects: Статті у базах даних > Scopus
Divisions: Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Depositing User: Павло Миколайович Складанний
Date Deposited: 06 Dec 2024 09:00
Last Modified: 06 Dec 2024 09:00
URI: https://elibrary.kubg.edu.ua/id/eprint/50183

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