COOPERATIVE PRIVACY FRAMEWORK SYSTEM FOR USER PRIVACY IN SOCIAL RECOMMENDATION SERVICE

摘要

The present invention relates to a cooperative privacy framework system for the user privacy in a social recommendation service. According to the present invention, the cooperative privacy framework system includes: a running agent for collecting various interests of users to build a rating database and a meta-database; a local camouflage agent which executes a local concealing process to protect the user privacy when the preference of a super-peer or an external social recommendation service is shared; an encryption agent which conceals the profile collected from a peer group; a reliability agent which calculates the level of reliability between a host and a target to transmit the calculated reliability value to a pre-specified super-peer; a synchronization agent enabling the local camouflage agent to periodically update the preference and transmit the updated preference to the social preference service; a transmission agent which is used to enable the synchronization agent to transmit the updated preference; a feedback agent for the feedback on the transmitted preference; a policy agent which encodes the privacy preference and policy in the extensible markup language (XML) according to the role of the houst regarding in a recommendation process; and a management agent which manages the agents.;COPYRIGHT KIPO 2015