CAJ | 학술논문

随着大数据时代的到来，数据共享在商业、政府和其他机构之间日渐频繁，如何保护各参与方的数据隐私成为亟待解决的问题。文中针对水平划分的数据容易产生的各参与方数据隐私泄露，共谋攻击和分布式、准诚信、大数据的挖掘环境中的新特点，提出了一种保护隐私的聚类挖掘算法。该方法结合RSA公钥加密技术和同态加密技术等密码学方法的优势，能够在不降低挖掘精度的前提下，保护各参与方的数据隐私。分析表明，它能够保证挖掘结果的安全性、有效性和正确性。
수착대수거시대적도래，수거공향재상업、정부화기타궤구지간일점빈번，여하보호각삼여방적수거은사성위극대해결적문제。문중침대수평화분적수거용역산생적각삼여방수거은사설로，공모공격화분포식、준성신、대수거적알굴배경중적신특점，제출료일충보호은사적취류알굴산법。해방법결합RSA공약가밀기술화동태가밀기술등밀마학방법적우세，능구재불강저알굴정도적전제하，보호각삼여방적수거은사。분석표명，타능구보증알굴결과적안전성、유효성화정학성。
Due to the advent of big data age,data sharing between business,governments and other parties is more and more frequent. Pri-vacy preserving has become an important issue in data mining. In this paper,in view of horizontally partitioned data is easy to produce the parties data privacy,collusion attack and new features of distributed,semi-honest partner,big data mining in the environment,propose a clustering mining method to protect the privacy. Combined the advantages of RSA public key cryptosystem, homomorphic encryption scheme and other cryptograph methods,can preserve the privacy of all parties on the premise of not reducing the mining accuracy. The theoretical analysis shows that this method can guarantee the security,validity and correctness for result.