AIDA : Minimizing Communication Overhead And Enhance Privacy of Shared Data
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 10
Abstract
An algorithm for anonymous sharing of private data among parties is developed. Top-down refinement masks a given table to satisfy broad range of anonymity requirements without sacrificing significantly the usefulness to classification .This assignment is anonymous in that the identities received are unknown to the other members of the group. Top-down Refinement is much more efficient than previously reported approaches, particularly the secure sum algorithm.
Authors and Affiliations
G Govardhani, D Srinivas
Keywords
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