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    Distributed privacy preserving data collection

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    Type
    Conference Paper
    Authors
    Xue, Mingqiang
    Papadimitriou, Panagiotis D.
    Raïssi, Chedy
    Kalnis, Panos cc
    Pung, Hungkeng
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2011
    Permanent link to this record
    http://hdl.handle.net/10754/564335
    
    Metadata
    Show full item record
    Abstract
    We study the distributed privacy preserving data collection problem: an untrusted data collector (e.g., a medical research institute) wishes to collect data (e.g., medical records) from a group of respondents (e.g., patients). Each respondent owns a multi-attributed record which contains both non-sensitive (e.g., quasi-identifiers) and sensitive information (e.g., a particular disease), and submits it to the data collector. Assuming T is the table formed by all the respondent data records, we say that the data collection process is privacy preserving if it allows the data collector to obtain a k-anonymized or l-diversified version of T without revealing the original records to the adversary. We propose a distributed data collection protocol that outputs an anonymized table by generalization of quasi-identifier attributes. The protocol employs cryptographic techniques such as homomorphic encryption, private information retrieval and secure multiparty computation to ensure the privacy goal in the process of data collection. Meanwhile, the protocol is designed to leak limited but non-critical information to achieve practicability and efficiency. Experiments show that the utility of the anonymized table derived by our protocol is in par with the utility achieved by traditional anonymization techniques. © 2011 Springer-Verlag.
    Citation
    Xue, M., Papadimitriou, P., Raïssi, C., Kalnis, P., & Pung, H. K. (2011). Distributed Privacy Preserving Data Collection. Lecture Notes in Computer Science, 93–107. doi:10.1007/978-3-642-20149-3_9
    Publisher
    Springer Nature
    Journal
    Database Systems for Advanced Applications
    Conference/Event name
    16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
    ISBN
    9783642201486
    DOI
    10.1007/978-3-642-20149-3_9
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-642-20149-3_9
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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