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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Tolga Acar</author_name><author_url>https://www.microsoft.com/en-us/research/people/tolga/</author_url><title>Affine Pairings on ARM - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="EHz7shBqSN"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/affine-pairings-on-arm/"&gt;Affine Pairings on ARM&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/affine-pairings-on-arm/embed/#?secret=EHz7shBqSN" width="600" height="338" title="&#x201C;Affine Pairings on ARM&#x201D; &#x2014; Microsoft Research" data-secret="EHz7shBqSN" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Pairings on elliptic curves are being used in an increasing number of cryptographic applications on many different devices and platforms, but few performance numbers for cryptographic pairings have been reported on embedded and mobile devices. In this paper we give performance numbers for affine and projective pairings on a dual-core Cortex A9 ARM processor and [&hellip;]</description></oembed>
