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        <title>Usable Secure Private Search</title>
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        <namePart type="family">Raykova</namePart>
        <namePart type="given">Mariana Petrova</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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        <namePart type="family">Cui</namePart>
        <namePart type="given">Ang</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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        <namePart type="family">Vo</namePart>
        <namePart type="given">Binh D.</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <name type="personal" ID="bl2329">
        <namePart type="family">Liu</namePart>
        <namePart type="given">Bin</namePart>
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            <roleTerm type="text">author</roleTerm>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <name type="personal" ID="tm2118">
        <namePart type="family">Malkin</namePart>
        <namePart type="given">Tal G.</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <name type="personal" ID="smb2132">
        <namePart type="family">Bellovin</namePart>
        <namePart type="given">Steven Michael</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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        <namePart type="family">Stolfo</namePart>
        <namePart type="given">Salvatore</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <abstract>Real-world applications commonly require untrusting parties to share sensitive information securely. This article describes a secure anonymous database search (SADS) system that provides exact keyword match capability. Using a new reroutable encryption and the ideas of Bloom filters and deterministic encryption, SADS lets multiple parties efficiently execute exact-match queries over distributed encrypted databases in a controlled manner. This article further considers a more general search setting allowing similarity searches, going beyond existing work that considers similarity in terms of error tolerance and Hamming distance. This article presents a general framework, built on the cryptographic and privacy-preserving guarantees of the SADS primitive, for engineering usable private secure search systems.</abstract>
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        <topic>Computer science</topic>
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            <title>IEEE Security &amp; Privacy</title>
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                <number>10</number>
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            <detail type="issue">
                <number>5</number>
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            <extent unit="page">
                <start>53</start>
                <end>60</end>
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            <date>2012</date>
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        <identifier type="doi">http://dx.doi.org/10.1109/MSP.2011.155</identifier>
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    <identifier type="hdl">http://hdl.handle.net/10022/AC:P:14857</identifier>
    
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