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数据发布中的匿名化技术研究综述 被引量：6

Survey of research on anonymilization technology in data publication
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摘要 匿名化技术被公认为是解决隐私信息泄漏问题的一个好方法。当前匿名化技术的研究工作大致可以分为匿名策略的研究和匿名实现技术研究两类。分别介绍了这两类研究近年来的主要成果,并对其进行了比较,对其中尚未解决的问题进行了客观的分析。 Anonymilization, as known to all, is a good method to solve the leakage of confidential information, once after it was proposed. The research on anonymilization technology can be divided into two categories, one on the generalization principle, and the other on the implementation ways. In this paper, we gave an overview study of the status quo and trend of the research, and discussed the open and challenging problems in anonymilization technology.
作者 刘喻 吕大鹏 冯建华 周立柱
机构地区 清华大学计算机科学与技术系
出处 《计算机应用》 CSCD 北大核心 2007年第10期2361-2364,共4页 journal of Computer Applications
基金 清华大学基础研究基金资助项目(JCqn2005022) 浙江自然科学基金资助项目(Y105230)
关键词 隐私保护 匿名化 K-匿名 隐私信息 数据安全 privacy-persevering anonymilization k-anonymity privacy information data security
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献21

  • 1SWEENEY L.K-anonymity:a model for protecting privacy[J].Journal on Uncertainty,Fuzziness and Knowledge-based Systems,2002,10(5):557-570.
  • 2XIAO X,TAO Y.M-invariance:towards privacy preserving re-publication of dynamic datasets[C]// Proceedings of ACM Conference on Management of Data (SIGMOD).New York:ACM Press,2007:689-700.
  • 3MACHANAVAJJHALA A,GEHRKE J,KIFER D.l-diversity:Privacy beyond k-anonymity[C]// ACM Transactions on Knowledge Discovery from Data (TKDD).New York:ACM Press,2007,1(1).
  • 4WONG R C,LI J,FU A W,et al.(a,k)-Anonymity:an enhanced k-anonymity model for privacy-preserving data publishing[C]// Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining.New York:ACM Press,2006:754-759.
  • 5TRUTA T M,VINAY B.Privacy protection:p-Sensitive k-Anonymity property[C]// Proceedings of the 22nd International Conference on Data Engineering Workshops.Washington DC:IEEE Computer Society,2006:94.
  • 6LI N,LI T.t-closeness:Privacy beyond k-anonymity and l-diversity[C]// Proceedings of IEEE 23rd International Conference on Data Engineering.Istanbul:IEEE Computer Society,2007:106-115.
  • 7KOUDAS N,SRIVASTAVA D,YU T,et al.Aggregate query answering on anonymized tables[C]// Proceedings of the 23th International Conference on Data Engineering.[S.l.]:IEEE Computer Society,2007:116-125.
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同被引文献93

  • 1潘晓,肖珍,孟小峰.位置隐私研究综述[J].计算机科学与探索,2007,1(3):268-281. 被引量：66
  • 2杨晓春,刘向宇,王斌,于戈.支持多约束的K-匿名化方法[J].软件学报,2006,17(5):1222-1231. 被引量：60
  • 3Sweeney L. K-anonymity:a model for protecting privacy [J]. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002,10 (5) : 557-570.
  • 4Samarati P,Sweeney L. Protecting privacy when disclosing information : k -anonymity and its enforcement through generalization and suppression: proceedings of the IEEE Symposium on Research in Security and Privacy[R]. Technical report, CMU SRI, 1998:1-19.
  • 5Sweeney L. Achieving k-anonymity privacy protection using generalization and suppression [J]. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002,10(5) : 571-588.
  • 6Maehanavajjhala A,Gehrke J,Kifer D. L diversity: Privacy beyond k-anonymity: proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE ' 06 ) [C]. Atlanta, GA, USA : IEEE Press, 2006 : 24-36.
  • 7Wong R C,Li J,Fu A W,et al. (a,k) -Anonymity:an enhanced k-anonymity model for privacy-preserving data publishing: proceedings of 12th ACM SIGKDD international conference on knowledge discovery and data mining [C]. New York: ACM Press, 2006: 754- 759.
  • 8Truta T M, Vinay B. Privacy protection: p -Sensitive k - anonymity property : proceedings of the 22nd International Conference on Data Engineering Workshops [C]. Washington DC: IEEE Computer Society, 2006 : 94.
  • 9Koudas N ,Srivastava D, Yu T,et al. Aggregate query answering on anonymized tables: proceedings of the 23rd International Conference on Data Engineering[C]. Istanbul : IEEE Computer Society, 2007 : 116-125.
  • 10Li N ,Li T. t -closeness :privacy beyond k -anonymity and 1-diversity:proceedings of IEEE 23rd International Conference on Data Engineering [C]. Istanbul: IEEE Computer Society, 2007 : 106-115.

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计算机应用
2007年 第10期

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