Towards Privacy-Sensitive Participatory Sensing

—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 VariableSize 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 VMDAV improves the percentage of positive identifications made by the application server by up to 100% and decreases the information loss by ab...

• Type: Conference
• Year: 2009
• Where: PERCOM
• Authors: Kuan Lun Huang, Salil S. Kanhere, Wen Hu
• Keywords: Hybrid VariableSize Maximum, Individuals Contributing Data, Key Research Challenge, PERCOM 2009, Wireless Networks