A New Scheme to Privacy-Preserving Collaborative Data Mining

被引：2
|
作者：
Zhu, Jianming [1 ]
机构：
[1] Cent Univ Finance & Econ, Sch Informat, Beijing, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 1, PROCEEDINGS | 2009年
关键词：
Security and privacy; data mining; privacy-preserving data mining; k-nearest neighbor classification;
D O I：
10.1109/IAS.2009.133
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Protection of privacy has become an important problem in data mining. In this paper, we present a new scheme to privacy-preserving collaborative data mining based on the homomorphic encryption and ElGamal encryption system in distributed environment. This scheme can be used to compute the k-nearest neighbor search. Our scheme is provable secure and efficient and can prevent colluded attacker. Comparing with the previous work on this issue, our method can be used in multi-parties who want to cooperatively compute the answers without revealing to each other their identity and their private data.
引用
收藏
页码：468 / 471
页数：4
相关论文
共 50 条
  • [21] A scheme for privacy-preserving data dissemination
    Lilien, Leszek
    Bharuava, Bharat
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (03): : 502 - 506
  • [22] A New Scheme on Privacy-preserving Distributed Decision-tree Mining
    Fang, Weiwei
    Yang, Bingru
    Song, Dingli
    Tang, Zhigang
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 517 - +
  • [23] An Improved Scheme for Privacy-Preserving Collaborative Anomaly Detection
    Lyu, Lingjuan
    Law, Yee Wei
    Erfani, Sarah M.
    Leckie, Christopher
    Palaniswami, Marimuthu
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATION WORKSHOPS (PERCOM WORKSHOPS), 2016,
  • [24] A New Model for Privacy Preserving Multiparty Collaborative Data Mining
    Bhanumathi, S.
    Sakthivel
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 845 - 850
  • [25] Collaborative, Privacy-Preserving Data Aggregation at Scale
    Applebaum, Benny
    Ringberg, Haakon
    Freedman, Michael J.
    Caesar, Matthew
    Rexford, Jennifer
    [J]. PRIVACY ENHANCING TECHNOLOGIES, 2010, 6205 : 56 - +
  • [26] A new model for privacy preserving multiparty collaborative data mining
    [J]. 1600, IEEE Computer Society
  • [27] A New Model for Privacy Preserving Multiparty Collaborative Data Mining
    Vinay, M. G.
    Kumar, Ravi V. G.
    [J]. 2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 394 - 397
  • [28] Privacy-preserving data mining in the malicious model
    Kantarcioglu, Murat
    Kardes, Onur
    [J]. International Journal of Information and Computer Security, 2008, 2 (04) : 353 - 375
  • [29] Research on distributed privacy-preserving data mining
    Jia, Zhe
    Pang, Lei
    Luo, Shoushan
    Xin, Yang
    Zhang, Miao
    [J]. Journal of Convergence Information Technology, 2012, 7 (01) : 356 - 367
  • [30] Research on Privacy-Preserving Technology of Data Mining
    Shen, Yanguang
    Han, Junrui
    HuiShao
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 612 - 614
12345