NDLI: CMOA: continuous moving object anonymization

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Evolving social data mining and affective analysis methodologies, framework and applications

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CMOA: continuous moving object anonymization

Content Provider	ACM Digital Library
Author	Miyakawa, Shinya Takahashi, Tsubasa
Abstract	This paper proposes a continuous anonymization method for a trajectory stream. In today's mobile environment, positions of moving objects are frequently sensed and collected. For real-time movement pattern analyses of people and automobiles, trajectory streams have attracted a lot of attention. Trajectory streams lead to sensitive locations, such as homes and personal hospitals. Additionally, a set of spatio-temporal data might identify a user from a trajectory stream. Therefore, publishing original trajectory streams may cause critical breaches of privacy. To protect privacy of users, we need a mechanism which makes it difficult to identify users from crowds of trajectory streams. Several techniques for anonymizing trajectories have been proposed. Anonymized trajectories can be published without concerning about privacy issues. However, for the continuous publishing of trajectory streams, existing trajectory anonymization methods are not suitable because they anonymize the overall trajectories at a time. If the existing methods are applied in the continuous publishing, the resolution of anonymized trajectory is hugely degraded or trace-ability is lost. In this paper, we propose an anonymization technique for a trajectory stream. The method continuously anonymizes trajectory streams one by one, and dynamically reforms anonymized trajectory streams to improve the resolution. The experiments showed that our method could keep the resolution at a constant level.
Starting Page	81
Ending Page	90
Page Count	10
File Format	PDF
ISBN	9781450312349
DOI	10.1145/2351476.2351486
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-08-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy Trajectory stream Data anonymization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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