Semantic Privacy Inference Preservation Algorithm for Indoor Trajectory

Indoor location services have become an increasingly important part of our everyday lives in recent years. Despite the numerous benefits these offer, serious concerns arisen about privacy users’ locations. Adversaries can monitor user-requested locations order to obtain sensitive information such as shopping patterns. Many users indoor spaces want their movements and be kept private so not reveal visit a particular zone inside buildings. Research on semantic trajectory-based human movement data has primarily focused finding routes without taking into account protection privacy. Hence, servers which trajectory is stored are completely secure. In this paper, we propose inference preservation algorithm for that issue path navigation instructions while achieving good moving entities by generating ambiguous trajectory. The simulation proposed was implemented MATLAB.