Optimal Time Hiding Using ant Based Algorithms in Privacy Preservation in Data Items

Privacy preserve data mining (PPDM) have developed into an additional challenging issue in resolve the effect of privatizing user's data. Most of the PPDM method adopting, precise item hiding change the creativity of the dataset and were planned to moderately evaluate the side effects. In this work, we plan to develop an Optimized Social Ant Based Precise Item Hiding (OSA-SIH) method also develop a range of value privacy preservation for ensure point for optimal hiding. Firstly precise data is scattered dataset are evaluate by means of the social ant base qualified item set distribution. Based on the calculate dataset, optimal hiding of precise item be alive with social ant based relative item set distribution silent for superior item sets, make sure moment for optimal hiding. Experiments are then conducted to show the presentation of time for optimal hiding.