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권호열(Kwon, Ho Yeol) 강원대학교 산업기술연구소 2016 産業技術硏究 Vol.36 No.1
In this paper, we propose an efficient anonymity algorithm for personal information protections in big data systems. Firstly, we briefly introduce fundamental algorithms of k -anonymity, l -diversity, t -closeness. And then we propose an anonymity algorithm using controlling the size of anonymity groups as well as exchanging the data tuple between anonymity groups. Finally, we demonstrate an example on which proposed algorithm applied. The proposed scheme gave an efficient and simple algorithms for the processing of a big amount of data.