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  3. Volume 7, Number 1, 2025
  4. Analysis of Current Trends and Approaches to Reliable and Secure Big Data Storage

Analysis of Current Trends and Approaches to Reliable and Secure Big Data Storage

CSN.
2025;
Volume 7, Number 1
: pp. 106 - 118
https://doi.org/10.23939/csn2025.01.106
Authors:
  1. O. R. Deineka
1
Lviv Polytechnic National University, UkraineDepartment of Information Protection

The rapid accumulation of information assets requires new approaches to their storage and protection. The article is devoted to the analysis of modern approaches to storing large volumes of data, taking into account their efficiency, reliability and security. Key technologies such as cloud platforms, local solutions and distributed storage systems are considered, as well as the features of their application.
The study emphasizes the role of cloud technologies as a basis for storing and processing big data, ensuring scalability, flexibility and high availability. The challenges associated with confidentiality, dependence on service providers and adaptation of technologies to the specific needs of organizations are discussed.
A detailed comparison of local and cloud solutions for data storage in terms of cost, availability, performance and security is presented. The results of the development are presented for the development of more effective and reliable solutions for managing big data in the context of growing cyber threats and dynamic development of technologies.

Big data
storage
data protection
confidentiality
integrity
availability
cloud technologies
local storage technologies
machine learning
  1. Aujla G. S., Chaudhary R., Kumar N., Das A. K., Rodrigues J. J. SecSVA: secure storage, verification, and auditing    of    big    data    in    the    cloud    environment.    IEEE    Commun    Mag.    2018.    56(1).    78-85.    DOI: 10.1109/MCOM.2018.1700379.
  2. Deineka O., Harasymchuk O., Partyka A., Obshta A., Korshun N. Designing Data Classification and Secure Store Policy According to SOC 2 Type II. CEUR Workshop Proceedings. 2024. 3654. Pp. 398–409.
  3. Yatskiv V., Kulyna S., Yatskiv N., Kulyna H. Protected Distributed Data Storage Based on Residue Number System and Cloud Services. 10th International Conference on Advanced Computer Information Technologies (ACIT), 2020. 796–799. DOI: 10.1109/acit49673.2020.9208849.
  4. Kai Z. Research on network data storage Technology based on Autonomous Controllable system. In 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI), Shanghai, China, 2021. 183-186. DOI: 10.1109/icceai52939.2021.00035.
  5. Jambi Kamal, Eassa Fathy, Alshomrani Abdullah. A Framework to Secure Big Data Storage. Journal of Computational and Theoretical Nanoscience. 2017. 14. 5600-5605. DOI: 10.1166/jctn.2017.6990.
  6. Deibe David, Amor Margarita, Doallo Ramon. Big data storage technologies: a case study for web-based LiDAR visualization. IEEE International Conference on Big Data. 2018. Pp. 3831–3840. DOI: 10.1109/BigData.2018.8622589.
  7. Reena M., Nargunam A. S. Secured  Storage of Big Data  in Cloud. International Journal of Recent Technology and Engineering (IJRTE). 2019. 8(2S3). Pp. 6-10. DOI: 10.35940/ijrte.B1002.0782S319.
  8. Martseniuk Y., Partyka A., Harasymchuk O., Korshun N. Automated Conformity Verification Concept for Cloud Security Cybersecurity Providing in Information and Telecommunication Systems 2024, 3654. Pp. 25-37.
  9. Коваль. О., Гарасимчук О. Розроблення гібридного методу побудови сховища даних. CSN. 2024. Вип. 6. № 1. С. 67–80. DOI:10.23939/csn2024.01.067.
  10. Amazon Web Services, Inc. Amazon S3 Documentation. 2023. URL: https://docs.aws.amazon.com/s3/ index.html.
  11. Amazon Web Services, Inc. Amazon EBS Documentation. 2023. URL: https://docs.aws.amazon.com/ ebs/index.html.
  12. Amazon Web Services, Inc. Amazon Glacier Documentation. 2023. URL: https://docs.aws.amazon.com/ glacier/index.html.
  13. Microsoft Corporation. Azure Blob Storage Documentation. 2023. URL: https://docs.microsoft.com/en- us/azure/storage/blobs/.
  14. Microsoft Corporation. Azure Disk Storage Documentation. 2023. URL: https://docs.microsoft.com/en- us/azure/virtual-machines/disks-types.
  15. Microsoft Corporation. Azure Archive Storage Documentation. 2023. URL: https://docs.microsoft.com/en- us/azure/storage/blobs/storage-blob-archive.
  16. Google LLC. Google Cloud Storage Documentation. 2023. URL: https://cloud.google.com/storage/docs/.
  17. Google LLC. Google Persistent Disk Documentation. 2023. URL: https://cloud.google.com/persistent- disk/docs/.
  18. Google LLC. Google Archive Storage Documentation. 2023. URL: https://cloud.google.com/storage/ docs/storage-classes#archive.
  19. Гарасимчук О. Бужович О. Стратегії та інноваційні підходи до захисту баз даних в епоху зростаючих кіберзагроз. Безпека інформації. 2024. Т. 30. № 1. С. 166-178. DOI: 10.18372/2225-5036.30.18618.
  20. Дейнека О., Гарасимчук О. Дослідження проблем класифікації та безпечного зберігання даних. Безпека інформації. 2023. 29. № 3. С. 147-153. DOI: 10.18372/2225-5036.29.18074.
  21. White Tom. Hadoop: The Definitive Guide. O’Reilly Media. 2015. 756 p. ISBN: 978-1491901632.
  22. Silberschatz Abraham, Galvin Peter B.,  Gagne  Greg.  Operating  System  Concepts.  Wiley.  2018. 976 p. ISBN: 978-1119456339.
  23. Barker Richard, Paul Massiglia. Storage Area Network Essentials: A Complete Guide to Understanding and Implementing SANs. Wiley. 2001. 480 p. ISBN: 978-0471034450.