Privacy Obfuscation with Bloom Filter for Effective Advertisement

Advertisements shown on web browser have been infiltrated into commerce on Internet. Especially, web sites with free contents such as news sites, shopping sites, game sites, etc. usually have advertisements instead of charge for users. Those sites have been evolved and have a method in which specific advertisements are effectively shown on users. Recent web sites collect personal information of users while storing logs of chosen items by the users on the sites, so that advertisements shown on browser will be related with favorites of users. Social Networking Service (SNS) is one of the best systems for collecting personal information for commercial use. However, personal information sometimes includes information of privacy. The information collected on the sites might be used for personal identification or identifying specific ideology. Therefore, I propose a method which obfuscates personal information for identification while keeping a certain accuracy of information for advertisement. It will act as a deterrent against elimination of people with specific ideology or against identification of a target for slandering.