Abstract
With the advancement use of computers extensively the use of data has also grown to big data level. Nowadays data is collected without any specific purpose, every activity of a machine or a human being is recorded, If needed in the future then the data will be analyzed. But here the question of trust arises as the data will go through many phases for the analysis by different parties. The data may contain some sensitive or private information which can be misutilized by the organizations involved in the analysis stages. So it is needed for the hour to consider the data privacy issues very seriously. Different types of methods have been proposed in this paper to ensure data privacy and also different machine learning algorithms have been discussed which have been used to design the proposed methods to ensure data privacy.
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Jena, M.D., Singhar, S.S., Mohanta, B.K., Ramasubbareddy, S. (2021). Ensuring Data Privacy Using Machine Learning for Responsible Data Science. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_49
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DOI: https://doi.org/10.1007/978-981-15-5679-1_49
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