Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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The Distributed Encryption Processing System for Large Capacity Personal Information based on MapReduce

맵리듀스 기반 대용량 개인정보 분산 암호화 처리 시스템

  • Received : 2013.10.24
  • Accepted : 2013.12.04
  • Published : 2014.03.31
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Abstract

Collecting and utilizing have a huge amount of personal data have caused severe security issues such as leakage of personal information. Several encryption algorithms for collected personal information have been widely adopted to prevent such problems. In this paper, a novel algorithm based on MapReduce is proposed for encrypting such private information. Furthermore, test environment has been built for the performance verification of the distributed encryption processing method. As the result of the test, average time efficiency has improved to 15.3% compare to encryption processing of token server and 3.13% compare to parallel processing.

대량의 개인정보가 수집되어 활용됨에 따라 개인정보 유출 등의 보안 문제가 발생하고 있다. 이에 최근에는 수집된 개인정보를 암호화 하여 저장하고 활용하는 방법이 사용되고 있다. 본 논문에서는 기존에 수집된 대량의 개인정보를 단시간에 암호화하기 위한 방법으로 맵리듀스 기반의 분산 암호화 처리 방법을 제안하고, 시스템을 설계하고 구현하였다. 또한 맵리듀스 기반의 분산 암호화 처리 방법의 성능을 검증을 위해 테스트 환경을 구축하여 비교 실험을 진행하였다. 실험 결과 토큰 서버의 암호화 처리 시간이 순차처리 대비 평균 시간 효율이 약 15.3% 정도 향상 하였으며, 병렬처리대비 약 3.13%정도 향상되는 것을 확인 하였다.

Keywords

References

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