Virtualization Model for Processing of the Sensitive Mobile Data

Year
2018
Type(s)
Author(s)
A. Wilczyński, J. Kołodziej
Source
In: Kołodziej J., Pop F., Dobre C. (eds) Modeling and Simulation in HPC and Cloud Systems. Studies in Big Data, vol 36. Springer, Cham, 2018, Pages 121-133
Url
https://doi.org/10.1007/978-3-319-73767-6_7

In this chapter, the k-anonymity algorithm is used for anonymization of sensitive data sending via network and analyzed by experts. Anonymization is a technique used to generalize sensitive data to block the possibility of assigning them to specific individuals or entities. In our proposed model, we have developed a layer that enables virtualization of sensitive data, ensuring that they are transmitted safely over the network and analyzed with respects the protection of personal data. Solution has been verified in real use case for transmission sports data to the experts who send the diagnosis as a response.

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