An Target-Based Privacy-Preserving Approach Using Collaborative Filtering and Anonymization Technique

Abstract

As the development of informative market grows, the different platform available who take the information of the user from various sources and provide this content to needy business organizations on the demand. The business organization analyses the user information to target the user for their business growth. If proper care of user’s information is not taken than their personal information may be disclosed to third party who analyze the user information. Here, it’s solely responsibility of the content provider to satisfy need of business parties by preserving the privacy of the user content. When the business holder asks for specific users information this request handled efficiently and securely so that the proper information display to the business parties and even the user identity will not be disclosed. To achieve this target-based solution, we propose filtering of data based on target audience requirement and anonymize the filtered data approach which makes secure analysis on user’s information by preserving the privacy as well as provide maximum informative result to the business holders based on their needs.