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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Security and Privacy in IoT Using Machine Learning and Blockchain: Threats &amp; Countermeasures · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2002.03488/</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/2002.03488/feed.xml" rel="self" type="application/rss+xml" /><item><title>Security and Privacy in IoT Using Machine Learning and Blockchain: Threats &amp; Countermeasures — mentioned by DyslexicAtheist</title><link>https://news.ycombinator.com/item?id=22387540</link><guid isPermaLink="false">urn:hackerpapers:mention:2002.03488:22387540</guid><pubDate>Fri, 21 Feb 2020 22:23:18 GMT</pubDate><description>&lt;p&gt;&amp;gt; Paper mills are believed to be fueled by unrealistic publication requirements or quotas, combined with monetary publication rewards to authors [2-5]. Where unrealistic publication requirements are widely applied over long periods of time, this could create a broad and growing base of paper mill clients. To both meet client demand and their capacity to pay, paper mills will likely aim to generate large numbers of manuscripts at minimum cost. This will likely require at least some falsified or fabricated data, as performing genuine experiments could render manuscripts unaffordable. &amp;gt; At the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2002.03488/"&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>
