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3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin

Research Article

Privacy Protection on Sliding Window of Data Streams

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/COLCOM.2007.4553832,
        author={Weiping Wang and Jianzhong Li and Chunyu Ai and Yingshu Li},
        title={Privacy Protection on Sliding Window of Data Streams},
        proceedings={3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2008},
        month={6},
        keywords={Algorithm design and analysis  Application software  Computer science  Data privacy  Intelligent systems  Joining processes  Marketing and sales  Monitoring  Protection  Telephony},
        doi={10.1109/COLCOM.2007.4553832}
    }
    
  • Weiping Wang
    Jianzhong Li
    Chunyu Ai
    Yingshu Li
    Year: 2008
    Privacy Protection on Sliding Window of Data Streams
    COLLABORATECOM
    IEEE
    DOI: 10.1109/COLCOM.2007.4553832
Weiping Wang1,*, Jianzhong Li2,*, Chunyu Ai3,*, Yingshu Li3,*
  • 1: National Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences
  • 2: School of Computer Science and Technology, Harbin Institute of Technology
  • 3: Department of Computer Science, Georgia State University
*Contact email: wpwang@ncic.ac.cn, lijzh@hit.edu.cn, chunyuai@cs.gsu.edu, yli@cs.gsu.edu

Abstract

In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers that needs to be carefully managed to protect customers’ privacy. In this paper, we consider the problem of preserving customer’s privacy on the sliding window of transaction data streams. This problem is challenging because sliding window is updated frequently and rapidly. We propose a novel approach, SWAF (Sliding Window Anonymization Framework), to solve this problem by continuously facilitating kanonymity on the sliding window. Three advantages make SWAF practical: (1) Small processing time for each tuple of data steam. (2) Small memory requirement. (3) Both privacy protection and utility of anonymized sliding window are carefully considered. Theoretical analysis and experimental results show that SWAF is efficient and effective.

Keywords
Algorithm design and analysis Application software Computer science Data privacy Intelligent systems Joining processes Marketing and sales Monitoring Protection Telephony
Published
2008-06-27
Publisher
IEEE
Modified
2011-07-20
http://dx.doi.org/10.1109/COLCOM.2007.4553832
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