Privacy-aware querying over sensitive trajectory data

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 895-904

  Pelekis, Nikos ^a   Gkoulalas Divanis, Aris ^b   Vodas, Marios ^a   Kopanaki, Despina ^a   Theodoridis, Yannis ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

^b IBM RESEARCH ZURICH   (Switzerland)

Author keywords

anonymity; mobility data; privacy aware query engine; trajectory database

Indexed keywords

ANONYMITY; DATA SETS; DATA SHARING; K-NEAREST NEIGHBORS; POTENTIAL ATTACK; PRIVACY VIOLATION; QUERY ENGINES; REAL TRAJECTORIES; SPATIOTEMPORAL QUERIES; TRAJECTORY DATA; TRAJECTORY DATABASE; USER ANONYMITY; USER PRIVACY;

DATA PRIVACY; KNOWLEDGE MANAGEMENT; QUERY LANGUAGES; TRAJECTORIES;

SEARCH ENGINES;

EID: 83055186997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063706     Document Type: Conference Paper

References (17)

1. O. Abul, F. Bonchi, and M. Nanni. Never walk alone: Uncertainty for anonymity in moving objects databases. In ICDE, pages 376-385, 2008.
2. N. R. Adam and J. C. Worthmann. Security-control methods for statistical databases: A comparative study. ACM Computing Surveys, 21(4):515-556, 1989.
3. S. Brakatsoulas, D. Pfoser, R. Salas, and C. Wenk. On map-matching vehicle tracking data. In VLDB, pages 853-864, 2005.
4. T. Brinkhoff. A framework for generating network-based moving objects. Geoinformatica, 6(2):153-180, 2002. (Pubitemid 34609430)
5. D. Douglas and T. Peucker. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Canadian Cartographer, 10(2):112-122, 1973.
6. A. Gkoulalas-Divanis and V. S. Verykios. A privacy-aware trajectory tracking query engine. SIGKDD Explorations, 10(1):40-49, 2008.
7. B. Hoh and M. Gruteser. Protecting location privacy through path confusion. In SECURECOMM, pages 194-205, 2005.
8. B. Hoh, M. Gruteser, H. Xiong, and A. Alrabady. Preserving privacy in GPS traces via uncertainty-aware path cloaking. In CCS, pages 161-171, 2007.
9. J.-G. Lee, J. Han, and K.-Y. Whang. Trajectory clustering: A partition-and-group framework. In SIGMOD, pages 593-604, 2007.
10. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Mondrian multidimensional k-anonymity. In ICDE, page 25, 2006.
11. M. E. Nergiz, M. Atzori, and Y. Saygin. Towards trajectory anonymization: A generalization-based approach. In ACM GIS Workshop on Security and Privacy in GIS and LBS, pages 1-10, 2008.
12. N. Pelekis, E. Frentzos, N. Giatrakos, and Y. Theodoridis. HERMES: Aggregative LBS via a trajectory DB engine. In SIGMOD, pages 1255-1258, 2008.
13. N. Pelekis, I. Kopanakis, E. E. Kotsifakos, E. Frentzos, and Y. Theodoridis. Clustering uncertain trajectories. KAIS. to appear.
14. D. Pfoser, C. S. Jensen, and Y. Theodoridis. Novel approaches to the indexing of moving object trajectories. In VLDB, pages 395-406, 2000.
15. P. Samarati. Protecting respondents' identities in microdata release. TKDE, 13(6):1010-1027, 2001. (Pubitemid 34035590)
16. L. Sweeney. K-anonymity: A model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge Based Systems, 10(5):557-570, 2002. (Pubitemid 35384857)
17. M. Terrovitis and N. Mamoulis. Privacy preservation in the publication of trajectories. In MDM, pages 65-72, 2008.