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	<title>Kommentare zu: Rasterfahndung: Wildes Rastern bringt nichts</title>
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	<link>http://netzpolitik.org/2007/rasterfahndung-wildes-rastern-bringt-nichts/</link>
	<description>Politik in der digitalen Gesellschaft</description>
	<pubDate>Tue, 14 Oct 2008 06:04:29 +0000</pubDate>
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		<title>Von: erlehmann</title>
		<link>http://netzpolitik.org/2007/rasterfahndung-wildes-rastern-bringt-nichts/#comment-123274</link>
		<dc:creator>erlehmann</dc:creator>
		<pubDate>Thu, 04 Oct 2007 14:46:48 +0000</pubDate>
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		<description>s/RSdabei/Rasterfahndung bei gro&#223;er Grundmenge

bitte korrigieren, fall m&#246;glich.</description>
		<content:encoded><![CDATA[<p>s/RSdabei/Rasterfahndung bei gro&#223;er Grundmenge</p>
<p>bitte korrigieren, fall m&#246;glich.</p>
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		<title>Von: erlehmann</title>
		<link>http://netzpolitik.org/2007/rasterfahndung-wildes-rastern-bringt-nichts/#comment-123273</link>
		<dc:creator>erlehmann</dc:creator>
		<pubDate>Thu, 04 Oct 2007 14:43:35 +0000</pubDate>
		<guid isPermaLink="false">http://netzpolitik.org/2007/rasterfahndung-wildes-rastern-bringt-nichts/#comment-123273</guid>
		<description>Bruce Schneier beschreibt die generelle mathematische Problematik einer RSdabei ganz gut. Wer ein bisschen in Stochastik aufgepasst hat, m&#252;sste also folgenden Absatz verstehen.
&lt;blockquote&gt;
Let's look at some numbers. We'll be optimistic. We'll assume the system has a 1 in 100 false positive rate (99% accurate), and a 1 in 1,000 false negative rate (99.9% accurate).

Assume one trillion possible indicators to sift through: that's about ten events -- e-mails, phone calls, purchases, web surfings, whatever -- per person in the U.S. per day. Also assume that 10 of them are actually terrorists plotting.

This unrealistically-accurate system will generate one billion false alarms for every real terrorist plot it uncovers. Every day of every year, the police will have to investigate 27 million potential plots in order to find the one real terrorist plot per month. Raise that false-positive accuracy to an absurd 99.9999% and you're still chasing 2,750 false alarms per day -- but that will inevitably raise your false negatives, and you're going to miss some of those ten real plots.

&lt;a href="http://www.schneier.com/blog/archives/2006/03/data_mining_for.html" rel="nofollow"&gt;Quelle&lt;/a&gt;&lt;/blockquote&gt;</description>
		<content:encoded><![CDATA[<p>Bruce Schneier beschreibt die generelle mathematische Problematik einer RSdabei ganz gut. Wer ein bisschen in Stochastik aufgepasst hat, m&#252;sste also folgenden Absatz verstehen.</p>
<blockquote><p>
Let&#8217;s look at some numbers. We&#8217;ll be optimistic. We&#8217;ll assume the system has a 1 in 100 false positive rate (99% accurate), and a 1 in 1,000 false negative rate (99.9% accurate).</p>
<p>Assume one trillion possible indicators to sift through: that&#8217;s about ten events &#8212; e-mails, phone calls, purchases, web surfings, whatever &#8212; per person in the U.S. per day. Also assume that 10 of them are actually terrorists plotting.</p>
<p>This unrealistically-accurate system will generate one billion false alarms for every real terrorist plot it uncovers. Every day of every year, the police will have to investigate 27 million potential plots in order to find the one real terrorist plot per month. Raise that false-positive accuracy to an absurd 99.9999% and you&#8217;re still chasing 2,750 false alarms per day &#8212; but that will inevitably raise your false negatives, and you&#8217;re going to miss some of those ten real plots.</p>
<p><a href="http://www.schneier.com/blog/archives/2006/03/data_mining_for.html" rel="nofollow">Quelle</a></p></blockquote>
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