Online ISSN: 2515-8260

Keywords : Cookie


Real time Personalized Security Engine for Securing Privacy in Social Networking Data

Udhaya Kumar. R; Uma Maheshwari. N; Venkatesh. R

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 981-1005

One of the most important words, we hear these days is Social Networks as online applications that allow their users to connect with a variety of links. The use of cookies 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 paper, we introduce novel detection methods and the results of ongoing tracking strategies, including: fingerprint typing, cookie synchronization, and cookie updates. Our findings include more sophisticated fingerprint imaging techniques that have never been measured in the wild. We've found that almost every new API is being abused 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 an online social networking site. Research in this field is in its early years. We say that various privacy issues are in place and that privacy research on OSNs will benefit from a comprehensive process.