INSPIRING FUTURES

Minimising collateral damage: privacy-preserving Investigative data acquisition platform.

Kwecka, Zbigniew, Buchanan, William J and Spiers, Duncan A (2011) Minimising collateral damage: privacy-preserving Investigative data acquisition platform. International Journal of Information Technologies and Systems Approach (IJITSA) : Special issue on Privacy and Security Issues in IT, 4 (2). pp. 12-31. ISSN 1935-570X

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    Abstract/Description

    Investigators define invasion of privacy during their operations as collateral damage. Inquiries that require gathering data about potential suspects from third parties, such as banks, Internet Service Providers (ISPs) or employers are likely to impact the relation between the data subject and the data controller. In this research a novel privacy-preserving approach to mitigating collateral damage during the acquisition process is presented and Investigative Data Acquisition Platform (IDAP) is defined. IDAP is an efficient symmetric Private Information Retrieval (PIR) protocol optimised for the specific purpose of facilitating public authorities’ enquiries for evidence. This research introduces a semi-trusted proxy into the PIR process in order to gain the acceptance of the general public for the trap-door based privacy-preserving techniques. Then the dilution factor is defined as a level of anonymity required in a given investigation. Defining this factor allows restricting the number of records processed, and therefore, minimising the processing time while maintaining an appropriate level of privacy. Finally, the technique allowing retrieval of records matching multiple selection criteria is described.

    Item Type: Article
    Print ISSN: 1935-570X
    Electronic ISSN: 1935-5718
    Uncontrolled Keywords: Privacy Enhancing Technology; Data Mining; Data Retrieval
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data > 005.8 Data security
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3898
    Depositing User: Computing Research
    Date Deposited: 03 Feb 2011 16:03
    Last Modified: 30 Nov 2012 14:54
    URI: http://researchrepository.napier.ac.uk/id/eprint/3898

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