Privacy preserved approach for trajectory anonymization through zone creation for halting points

The abundance of various embedded sensors on mobile devices results in huge amount of data generation, storage requirement and also causes the encroachment into the personal privacy. But for the development of new applications or making organizational decisions, the trajectory data is to be published. Moving objects trajectory publication may result in the serious violation and a threat to the individual's privacy. The existing methods in privacy preservation approach, tries to anonymize the whole trajectories together. But this will certainly result in serious information loss and published data quality. It is realized that major halting points in the trajectories are more important than the pass-by points. So here this proposal put forward a method that will extract the vital halting points from the trajectory and anonymize these points during the trajectory publication by hiding these points in a zone. Also tries to prevent the adversary from reaching the zone by knowing the moving speed. For the experimentation of methods, real world data has been used and also provide a conceptual method to solve the problem.