REAL-TIME PERSONALIZED SECURITY ENGINE FOR SECURING PRIVACY IN SOCIAL NETWORKING DATA

One Name, we listen now a day is Social Media an application that provide peoples to connect with ours. The cookies usage leads to identify people has raised serious concerns about security and privacy. Several countries have enacted laws to protect privacy to address these issues. In this Research, we introduce personalized engine to be secured and the results of ongoing tracking strategies, including: fingerprint typing, cookie synchronization, and cookie updates are performed. Our findings include more sophisticated fingerprint imaging techniques that have never been measured in the wild. We identified that almost each new API is being misleaded by fingerprint trackers. Abuse is often not visible to users and publishers alike, and in many cases the developers of the API were not expected. This paper comes with some important security features on a networking social site. We analyzed various privacy issues are in research and that privacy on Online Networks will helps us from a comprehensive process.