Measure of Efficiency of Privacy Preserving Protocols for Secured E-commerce Web Site using Web Mining Approach

The recent investigation of privacy-preserving web mining has been motivated by the growing concern about the privacy of individuals when their data is stored, aggregated, and mined for information. Social Network Analysis (SNA) is now a commonly used tool in criminal investigations, but evidence gathering and analysis is often restricted by data privacy laws. We have developed Privacy preservation protocol to enhance privacy in four task they are web search, Database querying, Security sharing and to provide protection to buyer and seller in e-commerce web site. We propose a novel approach for the design of privacy-preserving buyer–seller watermarking protocols. We have measured the efficiency of privacy preservation protocols for secured e-commerce web site using web mining approach by measuring effective data rates, utilization of protocol, stop and wait flow control efficiency of protocol and ARQ flow control efficiency of the protocol.