Abstract

This paper introduces the privacy, data privacy - Stakeholders and classifications of attributes for data hiding techniques. It also throws the light on various data hiding techniques such as randomization, k-anonymity, l-diversity, t-closeness and tokenization. Also, the importance of balancing privacy and utility is discussed.

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