Cloud platform privacy protection method based on frequent item retrieval
A privacy protection and frequent item technology, applied in the field of cloud security, it can solve problems such as failure to consider sensitive attribute associations, loss of data utility, and inability to prevent speculation, so as to reduce the risk of data leakage, improve utility, and ensure data security.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0025] The present invention will be further described in detail below with reference to the drawings and specific embodiments.
[0026] Such as figure 1 , The invention is based on the frequent item retrieval cloud platform differential privacy protection method, including the following steps:
[0027] Step S100, extract the frequent itemsets of the data according to the association rule algorithm, the specific steps are:
[0028] Step S101: According to the set of items in the data, the size of the data set, etc., and the needs of the user who uses the data, a relatively reasonable minimum support is set as a comparison standard for the support. Perform component analysis on the original item set, sort the items with low frequency, and use the remaining items as the first candidate set.
[0029] Step S102: On the hadoop cloud platform, use MapReduce technology to process the original data set and divide it into a sequence of key-value pairs. On other nodes, use MapReduce to proces...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap