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Research Article | Open Access |

The Proposed Model to Increase Security of Sensitive Data in Cloud Computing

Author 1: Dhuratë Hyseni Author 2: Besnik Selimi Author 3: Artan Luma Author 4: Betim Cico
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 2 · Published 2018 · Cited by 18

DOI: https://doi.org/10.14569/IJACSA.2018.090229

Abstract

There is a complex problem regarding security of data in cloud, it becomes more critical when the data in question is highly sensitive. One of the main approaches to overcome this problem is the encryption data at rest, which comes with its own difficulties such as efficient key management, access permissions and similar. In this paper, we propose a new approach to security that is controlled by the IT Security Specialist (ITSS) of the company/organization. The approach is based on multiple strategies of file encryption, partitioning and distribution among multiple storage providers, resulting in increased confidentiality since a supposed attacker will need to first obtain parts of a file from different storage providers, know how to combine them, before any decryption attempt. All details of the strategy used for a particular file are stored on a separate file, which can be considered as a master key for the file contents. Also, we will present each strategy with the results and comments related to the realized measurements.

Keywords

How to Cite this Article

Hyseni, D., Selimi, B., Luma, A., & Cico, B. (2018). The Proposed Model to Increase Security of Sensitive Data in Cloud Computing. International Journal of Advanced Computer Science and Applications, 9(2). https://doi.org/10.14569/IJACSA.2018.090229

Hyseni, Dhuratë, et al.. "The Proposed Model to Increase Security of Sensitive Data in Cloud Computing." International Journal of Advanced Computer Science and Applications, vol. 9, no. 2, 2018, https://doi.org/10.14569/IJACSA.2018.090229.

@article{Hyseni2018,
  title     = {The Proposed Model to Increase Security of Sensitive Data in Cloud Computing},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {2},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Dhuratë Hyseni and Besnik Selimi and Artan Luma and Betim Cico},
  doi       = {10.14569/IJACSA.2018.090229},
  url       = {https://doi.org/10.14569/IJACSA.2018.090229}
}

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