Handling Fake Multimedia Contents Threat with Collective Intelligence in P2P File Sharing Environments

In this paper, we are discussing the question of removing fake multimedia content files, intentionally manipulated by a group of attackers. By employing un-biased collective intelligence of P2P nodes, we identify and remove fake multimedia content files based on the reputation management. The proposed scheme determine the reputation value according to trustworthy (along with confidence) of multimedia content files, which are statistically drawn by relating the collection of decision making of individual users about each multimedia content file. To verify this, we simulated the recovering reputation by LBG clustering for attacked area.