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An efficient online histogram publication method for data streams with local differential privacy
Regular Papers | Updated：2024-09-03

    • An efficient online histogram publication method for data streams with local differential privacy

    • 一种基于局部差分隐私的数据流高效在线直方图发布算法
    • “In the realm of data privacy, a novel approach has been developed to address the challenge of sharing data streams containing sensitive information. The EOHP method, designed for local differential privacy data streams, crafts an approximate histogram of the current sliding window and applies an optimized budget absorption mechanism to add noise, ensuring privacy while maintaining data utility. This innovation significantly cuts down on time and storage costs, setting a new standard for data sharing with untrusted parties.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 25, Issue 8, Pages: 1096-1109(2024)

    • DOI：10.1631/FITEE.2300368    

      CLC： TP391

    • Received：23 May 2023，

      Accepted：18 January 2024，

      Published：2024-08

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  • Tao TAO, Funan ZHANG, Xiujun WANG, et al. An efficient online histogram publication method for data streams with local differential privacy[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(8): 1096-1109. DOI： 10.1631/FITEE.2300368.

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