Rights Protection of Trajectory Datasets

  • Authors:
  • Claudio Lucchese;Michail Vlachos;Deepak Rajan;Philip S. Yu

  • Affiliations:
  • University of Venice;IBM T.J. Watson Research Center;IBM T.J. Watson Research Center;University of Illinois at Chicago

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

This work presents a technique of convincingly claiming ownership rights over a trajectory dataset. The presented methodology distorts imperceptibly a collection of sequences, effectively embedding a secret key, while retaining as well as possible the neighborhood of each object, which is vital for operations such as similarity search, classification or clustering.