Data Mining, fourth and analytical step of Knowledge discovery in database process is a process of discovering new and interesting patterns in the large datasets. For example, data miner can derive different patterns based on age, countries or continents on HIV-AIDS if they get suitable dataset to be mined. However, data publishing publish some sensitive information which can lead to chaos, e.g. if data is published as such then HIV effected people loose their privacy .The challenge for data publisher is to publish the data in a form that is most suitable in terms of utility and anonymity. Motivation of this paper comes from the challenges that data publisher face and benefits that data miner can get from data publishing. The aim of this pa-per is to make data publishers way simple enough so that Data Miner or Adversary cannot extract sensitive information out of the dataset. Minimizing the tradeoff between anonymizing and utility of dataset is the primary objective. The method used to accomplish the stated objective is anonymization of raw data using various Privacy Models.