Trajectory Anonymity for Privacy in Location
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 1
Abstract
The rapid development of location based services i.e. Navigation has enabled tracking of user more ever before and the tracking has increased. These technologies provide the services based on the geographical location of the current user. However, the personal location information generated by such technologies is at risk of d unless protection capabilities are built into the design of such technology. These concerns may ultimately prevent society from achieving the benefits from these technologies available to customer. The -based industry is that corporations will own and control location and other information about individual customer. Tracking technology is continuously expanding and providing the services based on the social needs. In this paper, we have designed and implemented an approach for protecting privacy in based services that anonymized the Data Set of the trajectories with k anonymization. After k anonymization, each possible location sample of each trajectory is further anonymized using the space and time grouping. The major goal of this paper is to create a system that takes the input data set of the trajectories and creates anonymized version of this data set. This Privacy protection technique will help to protect the whole ntation is done in C language and tested on GPS trajectory dataset (Microsoft Research Asia) Geolife project on 64 bit dual core 2.0 GHz with 2GB RAM over a Ubunt
Authors and Affiliations
Neha
Keywords
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