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익명 그룹 기반의 효율적인 데이터 익명화 알고리즘

An Efficient Algorithm of Data Anonymity based on Anonymity Groups

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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.

1. 서론

2. 데이터 익명화 기법

3. 제안된 익명그룹 기반 익명화 방법

4. 실험 결과

5. 결론

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