DocumentCode :
3321165
Title :
Towards privacy-sensitive participatory sensing
Author :
Huang, Kuan Lun ; Kanhere, Salil S. ; Hu, Wen
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW
fYear :
2009
fDate :
9-13 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
The ubiquity of mobile devices has brought forth the concept of participatory sensing, whereby ordinary citizens can now contribute and share information from the urban environment. However, such applications introduce a key research challenge: preserving the location privacy of the individuals contributing data. In this paper, we propose the use of microaggregation, a concept used for protecting privacy in databases, as a solution to this problem. We compare microaggregation with tessellation, the current state-of-the-art, and demonstrate that each technique has its advantage in certain mutually exclusive situations. We propose a hybrid scheme called, Hybrid Variable-Size Maximum Distance to Average Vector (V-MDAV), which combines the positive aspects of both these techniques. Our evaluations based on real-world data traces show that hybrid V-MDAV improves the percentage of positive identifications made by the application server by up to 100% and decreases the information loss by about 40%. Furthermore, our studies show that perturbing user locations with random Gaussian noise can provide users with an extra layer of protection with very little impact on the system performance.
Keywords :
Gaussian noise; data privacy; mobile computing; security of data; hybrid variable-size maximum distance to average vector; information loss; information sharing; location privacy; microaggregation; mobile device ubiquity; privacy protection; privacy-sensitive participatory sensing; random Gaussian noise; tessellation; urban environment; user location; Australia; Computer science; Data privacy; Databases; Mobile computing; Mobile handsets; Pricing; Protection; Roads; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on
Conference_Location :
Galveston, TX
Print_ISBN :
978-1-4244-3304-9
Electronic_ISBN :
978-1-4244-3304-9
Type :
conf
DOI :
10.1109/PERCOM.2009.4912864
Filename :
4912864
Link To Document :
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