Privacy Preserving Social Media Publishing For Personalized Ranking Based Recommendation

Abstract

Social media is now playing a vital role in the humans day to day life. Each person as the separate private account in the social website. They can upload photos and share more number of information. Through the social web site they can communicate to each other peoples. The social media has more positive and negative ways. It depends upon the person how they are using. The person whose account may be easily hacked by the 3rd party member and fetching the data. To avoid these sort of data extraction without the permission of the account owner.  In this paper they proposes the PrivRank method it can serves the security guard for the personalized account.  It can preserve the data of the ones own account.  By using this method we can prevent the some misbehavior actions. The data are get stored in the server this privRank act as the security barrier to the one person individual account data. This system has maximum result and effective. It can serves one’s life before entering into trouble. Sample test has been made using this system.