Self-adaptive histogram publishing method for data stream sliding window
A sliding window and histogram technology, applied in the field of information security, can solve the problems of low availability of published data and high time and space overhead, and achieve the effects of reducing memory consumption, increasing security, and reducing privacy budget
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[0062] In the prior art, although there are many methods for publishing histograms on static data sets, there are few methods for publishing histograms based on sliding windows in the data stream environment, and they face the problem of high error in publishing histograms. In view of this, this embodiment provides an adaptive histogram release method oriented to the sliding window of the data stream. This embodiment realizes the further improvement of the histogram release technology under the differential privacy condition by integrating the sliding window and the differential privacy technology. For optimization, the existing methods need to add uniform noise to the data histogram information to achieve data protection, which leads to problems such as low data availability and high time complexity in practical applications.
[0063] In this embodiment, a single-pass scan is performed on a given data stream D, and a sliding window model is used to publish statistics. First, ...
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