Application of Hippocratic principles for privacy preservation in social network

With the number of users of social network growing exponentially, the need of protecting the user privacy in network has gain the prime importance. While joining a social network, the user is requested to fill up a lot of unnecessary information like educational background, birth date, interests etc. This information may get leaked or mal-accessed if not protected with proper security measures. The data stored in social network may be attacked in different ways according to purpose of attack. In this paper we identify basic types of privacy breaches in social network. Secondly, we study the concept of Hippocratic principles. We propose a simple classification of the information requested from the user when he joins the social network. We also propose a privacy preserving model based on Hippocratic principles, specifically for Purpose, Limited Disclosure, Consent and compliance. Our proposed model work on privacy metadata, query analyzer is extended to check the define policy before giving the result out. This model can be used while mining on private data, which will help to enhance the privacy level of trustworthiness among internet users.