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- W2092302608 abstract "최근 개인정보 유출 사건과 관련된 사고가 사회적 이슈가 되고 있다. 민감한 개인정보를 암호화하여 데이터를 보호한다면 정보 유출이 확실히 줄어들 것이다. 본 논문에서는 데이터 보호를 위한 기존의 연구 방법을 분석하고, 블룸필터 방식에 버킷을 혼합한 복합적인 방법으로 민감한 정보를 암호화하기 위하여 제안하였다. 가장 많이 사용되는 튜플 암호화 방식에 버킷인덱스 방식을 적용한 방식이다. 이 방식은 버킷정보로 인하여 데이터의 분포가 노출된다는 단점을 가진다. 이러한 버킷인덱스 방식의 데이터 노출 특성을 방지하기 위하여, 본 논문에서는 버킷인덱스와 블룸필터를 적용한 복합적인 암호화방식을 제안한다. 제안된 방식의 특징은 데이터의 노출을 방지할 뿐 아니라 데이터베이스의 검색성능을 향상시킨다. Recently privacy breaches has been an social issues. If we should encrypt the sensitive information in order to protect the database, the leakage of the personal sensitive data will be reduced for sure. In this paper, we analyzed the existing protection algorithms to protect the personal sensitive data and proposed the combined method using the bucket index method and the bloom filters. Bucket index method applied on tuples data encryption method is the most widely used algorithm. But this method has the disadvantages of the data exposure because of the bucket index value presented. So we proposed the combined data encryption method using bucket index and the bloom filter. Features of the proposed scheme are the improved search performance of data as well as the protection of the data exposure." @default.
- W2092302608 created "2016-06-24" @default.
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- W2092302608 date "2012-05-31" @default.
- W2092302608 modified "2023-09-25" @default.
- W2092302608 title "The Secure Algorithm on the Sensitive data using Bloom filter and bucket method" @default.
- W2092302608 cites W2119956568 @default.
- W2092302608 doi "https://doi.org/10.6109/jkiice.2012.16.5.939" @default.
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