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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1909.09848/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1909.09848/feed.xml" rel="self" type="application/rss+xml" /><item><title>IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale — mentioned by randomwalker</title><link>https://news.ycombinator.com/item?id=21101183</link><guid isPermaLink="false">urn:hackerpapers:mention:1909.09848:21101183</guid><pubDate>Sat, 28 Sep 2019 16:16:12 GMT</pubDate><description>&lt;p&gt;Coauthor here. As it turns out, this is one of three papers released near-simultaneously that uncover the extent of tracking on TVs or IoT devices more generally. I&amp;#x27;ve written up a survey of the three papers and what I thought were especially interesting findings, along with some thoughts on why targeted advertising as a business model for TV platforms is harmful to users: https://twitter.com/random_walker/status/1177570679232876544 Direct links to the other two papers: https://moniotrlab.ccis.neu.edu/wp-content/uploads/2019/09/r... https://arxiv.org/pdf/1909.09848.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1909.09848/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
