A Survey on Data Anonymization Techniques and Challenges for Big Data

Recently Big data attract the researche s interest as a high volume, generated various sources and high rates generated data. Privacy is one of the main issues in big data. Anonymizatin is known as a suitable solution for this problem.In this paper the popular anonymization techniques are describes. These techniques are differents in computational complexity, processing time, and re-identification risk. So it is expected that using this techniques in big data having some challenges. In this review these challenges are also described and some of the main research direction for future work is mentioned

Keywords:

Anonymization , Psudonymization , De-Identification , Privacy