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Publishing histograms with outliers under data differential privacy
- Source :
- Security and Communication Networks. 9:2313-2322
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Histograms are important tools for data mining and analysis. Several differentially private publishing schemes for histograms have been proposed recently. Existing differentially private histogram publication schemes have shown that histogram reconstruction is a promising idea for the improvement of publication histograms' accuracy. However, none of these have properly considered the problem outliers in the original histogram, which can cause significant reconstruction errors. Based on the problem, the publication of histogram outliers under differential privacy, this paper puts forward a publication method for histograms with outliers under differential privacy: Outlier-HistoPub. Our method deals with the count sequence of the original histogram first, using a "global sort" to reduce the degree of alternative distribution a concept proposed in this paper, which may eliminate the influence of outliers during reconstruction. To avoid individual privacy leakage in the reconstruction process, an exponential mechanism is used to select the most similar adjacent bins of the uniformity distribution histogram to merge each time, and the Laplace mechanism is utilized to generate noisy data to perturb the count sequence of the reconstruction histogram. Experiments prove that the method proposed in this paper can improve the efficiency and accuracy of histogram publication. Copyright © 2016 John Wiley & Sons, Ltd.
- Subjects :
- Computer Networks and Communications
Balanced histogram thresholding
Computer science
business.industry
Big data
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Histogram matching
02 engineering and technology
computer.software_genre
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Computer Vision and Pattern Recognition
020204 information systems
Histogram
Computer Science::Multimedia
Outlier
0202 electrical engineering, electronic engineering, information engineering
sort
Differential privacy
020201 artificial intelligence & image processing
Adaptive histogram equalization
Data mining
business
computer
Information Systems
Subjects
Details
- ISSN :
- 19390114
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Security and Communication Networks
- Accession number :
- edsair.doi...........4001e9182db4906e3f2275dda82ea1a4