PCCA: Position Confidentiality Conserving Algorithm for Content-Protection in e-Governance Services & Applications

Authors

  • Sai Pranavi Billa , Dr. G. S. Bapiraju2

Abstract

In this paper, we present an answer concerning position classification preserving content insurance favored e-Governance administrations through computational insight. Content Confidentiality has become a genuine nervousness concerning current Information Societies. touchy idea regarding a great part regarding private individual information a certain persist traded conversely delivered to untrusted parties requires a certain subject organizations should leave held appropriate substance secrecy insurance instruments. We propose PCCA, a novel position privacy preserving calculation concerning content insurance favored e-Governance. proposed calculation applies computational insight favored e-Governance concerning content insurance by methods concerning rule-based methodology against computational knowledge & client's present position statistics. Exploratory outcomes shows a certain PCCA canister productively ration meandering client's position secrecy.

Published

2020-12-01

Issue

Section

Articles