Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication

Graphical abstract

References

[1] Komishani E G , Abadi M , Deldar F . PPTD: preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression. Knowledge-Based Systems, 2016, 94 : 43– 59

[2] Yao L, Wang X, Wang X, Hu H, Wu G. Publishing sensitive trajectory data under enhanced l-diversity model. In: Proceedings of the 20th IEEE International Conference on Mobile Data Management. 2019, 160–169

[3] Zhao J , Zhang Y , Li X H , Ma J . A trajectory privacy protection approach via trajectory frequency suppression. Chinese Journal of Computers, 2014, 37( 10): 2096– 2106

[4] Zhou C, Ma C, Yang S, Wu P, Liu L. A location privacy preserving method based on sensitive diversity for LBS. In: Proceedings of the IFIP International Conference on Network and Parallel Computing. 2014, 409– 422

[5] Badu-Marfo G, Farooq B, Patterson Z. Perturbation privacy for sensitive locations in transit data publication: a case study of montreal trajet surveys. 2019, arXiv preprint arXiv: 1901.07155

[6] Dong Y , Pi D . Novel privacy-preserving algorithm based on frequent path for trajectory data publishing. Knowledge-Based Systems, 2018, 148 : 55– 65

[7] Pensa R G, Monreale A, Pinelli F, Pedreschi D. Pattern-preserving k-anonymization of sequences and its application to mobility data mining. In: Proceedings of International Workshop on Privacy in Location-Based Applications PiLBA'08. 2008, 44– 60

[8] Gurung S , Lin D , Jiang W , Hurson A , Zhang R . Traffic information publication with privacy preservation. ACM Transactions on Intelligent Systems and Technology (TIST), 2014, 5( 3): 1– 26

Acknowledgements

This work was supported in part by the Guangxi “Bagui Schola” Teams and the Guangxi Natural Science Foundation (2020JJA170023).

Supporting Information

The supporting information is available online at journal. hep. com. cn and link. springer. com.

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