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        <title> - From NFGworld!</title>
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        <link>http://nfgworld.com/mb/thread/669-Fascinating-analysis-of-census-data</link>
        <lastBuildDate>Fri, 10 Sep 2010 02:50:15 GMT</lastBuildDate>
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            <title>Fascinating analysis of census data (Uniquely ID people based on their home and work post codes!)</title>
            <link>http://nfgworld.com/mb/thread/669-Fascinating-analysis-of-census-data</link>
            <description><![CDATA[
Found this over on <a href="http://www.schneier.com/blog/archives/2009/05/on_the_anonymit.html" title="http://www.schneier.com/blog/archives/2009/05/on_the_anonymit.html">Bruce Schneier's blog</a>: Researchers have worked out that knowing only the block where your home and office are, <a href="http://crypto.stanford.edu/~pgolle/papers/commute.pdf" title="http://crypto.stanford.edu/~pgolle/papers/commute.pdf">you can be uniquely identified</a> (PDF link).&nbsp; <br />
<br />
That's really interesting, but not surprising: how many people work <i>and</i> live on the same blocks?&nbsp; What's fascinating to me is the proof of it all.&nbsp; The research suggests that the block-level data is all that's needed to uniquely identify you, and that your home and work postal (ZIP) code is enough to identify 5% of the population.&nbsp; That's a seriously coarse sampling but still quite useful. <br />
<br />
There's quite a bit of analysis on <a href="http://33bits.org/2009/05/13/your-morning-commute-is-unique-on-the-anonymity-of-homework-location-pairs/" title="http://33bits.org/2009/05/13/your-morning-commute-is-unique-on-the-anonymity-of-homework-location-pairs/">33 Bits of Entropy</a>, covering the risk to anonymity when you consider the above research in combination with modern location-based technologies.<br />
<br />
Very much an interesting read.
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            <author> no_email@example.com (NFGworld.com - NFG)</author>
            <pubDate>Sun, 24 May 2009 23:14:03 GMT</pubDate>
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