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  4. Vol 6, Issue 4, 2023

Privacy Enhancement with Perturbation Method for Multidimensional Grid

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DOI: 10.23977/jaip.2023.060405 | Downloads: 16 | Views: 612

Author(s)

İlker İlter 1, Safiye Turgay 1

Affiliation(s)

1 Department of Industrial Engineering, Sakarya University, Sakarya, Turkey

Corresponding Author

İlker İlter

ABSTRACT

With the development of technology, the use of big data is spreading at an increasing rate. The issues of storing, analysing and securing data have brought along the methods that need to be developed. Ensuring data privacy and data security is the case of partial separation and processing of data with the perturbation method of data with the block chain approach. Within the scope of this study, data analysis performed using normalization, geometric rotation, linear regression and scalar data multiplication and comparative classification in precision data mining.

KEYWORDS

Privacy, Data mining protecting privacy, Big data, Multi-dimensional grid, Privacy enhancement, Perturbation approach

CITE THIS PAPER

İlker İlter, Safiye Turgay, Privacy Enhancement with Perturbation Method for Multidimensional Grid. Journal of Artificial Intelligence Practice (2023) Vol. 6: 31-39. DOI: http://dx.doi.org/10.23977/jaip.2023.060405.

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