Enhancing security of encrypted data sharing on social networks

This paper is motivated by the recognition of the need for a finer grain and more personalized privacy in data publication of social networks. We will propose a privacy protection scheme that not only prevents the disclosure of identity of users but also the disclosure of Selected features in users' profiles. An individual user can select which features of her profile she wishes to conceal. We want to group nodes with as similar neighborhood information as possible so that we can change as few labels as possible and add as few noisy nodes as possible. In this application, we will use hybrid cryptography for providing security while sharing the information. The encryption helps for cryptographic purpose and it also provides attribute base encryption this involves over many people that decrypts the cipher text. It involves the different users and allow to decrypt it based on their policies.