Huang-PrivacySensitiveParticipatorySensing

Huang-PrivacySensiti - -3304-9/09/$25.00 ©2009 IEEETowards Privacy-Sensitive Participatory SensingKuan Lun Huang Salil S KanhereSchool of Computer

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Unformatted text preview: 978-1-4244-3304-9/09/$25.00 ©2009 IEEETowards Privacy-Sensitive Participatory SensingKuan Lun Huang, Salil S. KanhereSchool of Computer Science and EngineeringThe University of New South Wales, Sydney, Australia{klh, [email protected] HuAutonomous Systems LabCSIRO ICT centre, [email protected] ubiquity of mobile devices has brought forththe concept ofparticipatory sensing, whereby ordinary citizenscan now contribute and share information from the urban envi-ronment. However, such applications introduce a key researchchallenge: preserving the location privacy of the individualscontributing data. In this paper, we propose the use ofmicroag-gregation, a concept used for protecting privacy in databases, asa solution to this problem. We compare microaggregation withtessellation, the current state-of-the-art, and demonstrate thateach technique has its advantage in certain mutually exclusivesituations. We propose a hybrid scheme called,Hybrid Variable-Size Maximum Distance to Average Vector (V-MDAV), whichcombines the positive aspects of both these techniques. Ourevaluations based on real-world data traces show that hybrid V-MDAV improves the percentage of positive identifications madeby the application server by up to 100% and decreases theinformation loss by about 40%. Furthermore, our studies showthat perturbing user locations with random Gaussian noise canprovide users with an extra layer of protection with very littleimpact on the system performance.I. INTRODUCTIONOver the past decade, we have witnessed an explosive growth ofmobile devices that are capable of capturing, processing, and trans-mitting high fidelity multimedia content. Furthermore, the advancesin positioning technologies and VLSI fabrication processes makegeo-localization an affordable feature in mobile devices. These havemotivated the research community to explore an alternative sensingparadigm referred to asparticipatory sensing[2] orurban sensing[1],that exploits the unique characteristics of these geo-intelligent, sensor-equipped and computationally capable mobile devices. These systemshave led to the emergence of severalcitizen sensingapplications,wherein, the mobile phones carried by ordinary citizens collect andshare information about the urban landscape.CarTel [3] is a system that uses mobile sensors mounted onvehicles to collect information about traffic, quality of en route Wi-FiAccess Points (APs), and potholes on the road. A similar system hasbeen proposed in [4], which exploits sensor-rich smartphones carriedby passengers for monitoring road and traffic conditions. Otherapplications of participatory sensing include, collecting informationabout urban air pollution [5], cyclist experience [6] and diet [7]. Inour earlier research, we have applied the concept of participatorysensing in sharing consumer pricing information in offline markets....
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.

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Huang-PrivacySensiti - -3304-9/09/$25.00 ©2009 IEEETowards Privacy-Sensitive Participatory SensingKuan Lun Huang Salil S KanhereSchool of Computer

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