The widespread use of Location Based Systems results in the accumulation of movement trajectory details in a massive scale. These mobility traces are very much useful for the researchers and the developers who needs to develop or invent new mobility management applications or modify the existing ones. But without proper privacy preserving mechanism for the published trajectory details may definitely raises the issue of privacy breach for the user. So before publishing the trajectory details suitable anonymization approach has to be applied. It is also found that the protection of significant points is better than the unnecessary anonymiztion whole trajectory points. This paper proposes a new model, which depicts a model that safeguards the significant points from the malevolent attacks by the help of generalization approach. With this model, the significant location points are hided in a specified size diversified area zone. The analysis shows that this approach is well ahead of the similar approaches used by the researches and provides better privacy and less information loss.

Anonymization, Trajectory Publication, Privacy Preservation

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