Data perturbation with state-dependent noise for participatory sensing

Proceedings - IEEE INFOCOM

Volumn , Issue , 2012, Pages 2246-2254

  Zhang, Fan ^a   He, Li ^b   He, Wenbo ^c   Liu, Xue ^c  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Data Perturbation; Participatory Sensing; Privacy

Indexed keywords

DATA PERTURBATION; HIGH QUALITY DATA; HIGHLY-CORRELATED; INFORMATION SERVERS; NOISE DISTRIBUTION; PARTICIPATORY SENSING; PRIVACY PRESERVATION; PRIVACY PROTECTION; PRIVATE INFORMATION; SENSING APPLICATIONS; SENSITIVE INFORMATIONS; SPEED VARIATIONS; STATE-DEPENDENT; STATE-DEPENDENT NOISE;

DATA PRIVACY;

EID: 84861633911     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2012.6195610     Document Type: Conference Paper

References (15)

1. A. Campbell, S. Eisenman, N. Lane, E. Miluzzo, and R. Peterson, "People-centric urban sensing," in Proc. of the 2nd annual international workshop on wireless internet, 2006.
2. J. Corburn, "Confronting the challenges in reconnecting urban planning and public health," American Journal of Public Health, vol. 94, no. 4, p. 541, 2004.
3. J. Horey, M. M. Groat, S. Forrest, and F. Esponda, "Anonymous data collection in sensor networks," in Proc. of International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2007.
4. C. Sharp, S. Schaffert, A. Woo, N. Sastry, C. Karlof, S. Sastry, and D. Culler, "Design and implementation of a sensor network system for vehicle tracking and autonomous interception," in Proc. of the Second European Workshop on Wireless Sensor Networks, 2005, pp. 93-107.
5. R. Agrawal and R. Srikant, "Privacy preserving data mining," in Proc. of ACM Conf. on Management of Data, 2000.
6. D. Agrawal and C. C. Aggarwal, "On the design and quantification of privacy preserving data mining algorithms," in Proc. of ACM Principles of Database Systems, 2001, pp. 247-255.
7. A. Evfimievski, J. Gehrke, and R. Srikant, "Limiting privacy breaches in privacy preserving data mining," in Proc. of the SIGMOD/PODS Conference, 2003, pp. 211-222.
8. Z. Huang, W. Du, and B. Chen, "Deriving private information from randomized data," in Proc. of ACM SIGMOD, 2005, pp. 37-48.
9. H. Kargutpa, S. Datta, Q. Wang, and K. Sivakumar, "On the privacy preserving properties of random data perturbation techniques," in Proc. of the IEEE ICDM, 2003, pp. 99-106.
10. R. K. Ganti, N. Pham, Y.-E. Tsai, and T. F. Abdelzaher, "Poolview: Stream privacy in grassroots participatory sensing," in Proc. of SenSys '08, Nov. 2008.
11. C. M. Bishop, Patter Recognition and Machine Learning. Springer, 2006.
12. R. Mickens, D. Brewley, and M. Russell, "A model of dieting," SIAM review, pp. 667-672, 1998.
13. C. Chow and K. Hall, "The dynamics of human body weight change,"PLoS computational biology, vol. 4, no. 3, p. e1000045, 2008.
14. T. Abdelzaher and et al, "Mobiscopes for human spaces," IEEE Pervasive Computing, vol. 6(2), pp. 20-29, 2007.
15. S. Papadimitriou, F. Li, G. Kollios, and P. S. Yu, "Time series compressibility and privacy," in Proc. of VLDB '07, 2007, pp. 459-470.