{"id":11330,"date":"2020-05-12T17:10:00","date_gmt":"2020-05-12T17:10:00","guid":{"rendered":"https:\/\/icrowdnewswire.com\/?p=2550583"},"modified":"2020-05-12T17:10:00","modified_gmt":"2020-05-12T17:10:00","slug":"microsoft-and-intel-turn-malware-into-images-to-help-spot-more-threats-2","status":"publish","type":"post","link":"https:\/\/ipsnews.net\/business\/2020\/05\/12\/microsoft-and-intel-turn-malware-into-images-to-help-spot-more-threats-2\/","title":{"rendered":"Microsoft and Intel turn malware into images to help spot more threats"},"content":{"rendered":"<div class=\"o-article_block \">\n<div class=\"grid@tl+ mt-n40\">\n<div class=\"grid@tl+__cell col-8-of-12@tl+ pt-40\">\n<figure><img decoding=\"async\" class=\"stretch-img  hide@m-\" src=\"https:\/\/o.aolcdn.com\/images\/dims?thumbnail=640%2C&amp;quality=80&amp;image_uri=https%3A%2F%2Fs.yimg.com%2Fos%2Fcreatr-uploaded-images%2F2020-05%2Ff11f6e70-93a4-11ea-b6fd-d87f98345005&amp;client=amp-blogside-v2&amp;signature=d94f72a79590e836784d95b5f5cbaa2afec323f1\" alt=\"laptop, smartphone and computer code\" \/><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"engadget-post-contents\" class=\"o-article_block pb-15 pb-5@m- o-subtle_divider\" data-ylk=\"sec:postcontents;slk:Microsoft%20and%20Intel%20turn%20malware%20into%20images%20to%20help%20spot%20more%20threats;elm:link;itc:0;\">\n<div class=\"grid@tl+\">\n<div class=\"grid@tl+__cell col-8-of-12@tl+\">\n<div class=\"article-text c-gray-1\">\n<p>Microsoft and Intel have a novel approach to classifying malware: visualizing it. They&rsquo;re&nbsp;<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/artificial-intelligence\/documents\/stamina-deep-learning-for-malware-protection-whitepaper.html\" target=\"_blank\" rel=\"noopener noreferrer\">collaborating<\/a>&nbsp;on STAMINA (Static Malware-as-Image Network Analysis), a project that turns rogue code into grayscale images so that a deep learning system can study them. The approach converts the binary form of an input file into a simple stream of pixels, and turns that into a picture with dimensions that vary depending on aspects like file size. A trained neural network then determines what (if anything) has infected the file.<\/p>\n<p><em>ZDNet<\/em>&nbsp;<a href=\"https:\/\/www.zdnet.com\/article\/microsoft-and-intel-project-converts-malware-into-images-before-analyzing-it\/\" target=\"_blank\" rel=\"noopener noreferrer\">noted<\/a>&nbsp;that the AI is trained on the huge amount of data Microsoft has collected from Windows Defenders installations. The technology doesn&rsquo;t need full-size, pixel-by-pixel recreations of viruses, which makes sense when large malware could easily translate to gigantic pictures.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<div class=\"o-article_block pb-15 pb-5@m- mt-n35 mt-n25@m mt-n15@s\">\n<div class=\"grid@tl+\">\n<div class=\"full-width@tp- grid@tl+__cell col-8-of-12@tl+\">\n<div class=\"article-text c-gray-1 no-review\">\n<p>STAMINA has proven mostly effective so far, with just over 99 percent accuracy in classifying malware and a false positive rate slightly under 2.6 percent. However, it has its limits. It works well with small files, but it struggles with larger ones.<\/p>\n<p>With enough refinement, though, this could be very useful. Most malware detection relies on extracting binary signatures or fingerprints, but the sheer number of signatures makes that impractical. This could help anti-malware tools effectively keep up and reduce the chances of security threats&nbsp;<a href=\"https:\/\/www.engadget.com\/2020-01-14-microsoft-patching-flaw-found-by-nsa.html\">slipping past defenses<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p class=\"tags\">\n<div><strong>See Campaign: <\/strong><a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/artificial-intelligence\/documents\/stamina-deep-learning-for-malware-protection-whitepaper.html\" target=\"_blank\">https:\/\/www.intel.com\/content\/www\/us\/en\/artificial-intelligence\/documents\/stamina-deep-learning-for-malware-protection-whitepaper.html<\/a><br \/><b>Contact Information:<\/b><br \/>Jon Fingas<\/p>\n<p><b>Tags:<\/b><br \/><a href=\"\"><\/a>, <a href=\"https:\/\/icrowdnewswire.com\/category\/news-category\/wire\/\" rel=\"category tag\">Wire<\/a>, <a href=\"https:\/\/icrowdnewswire.com\/category\/global-regions\/united-states\/\" rel=\"category tag\">United States<\/a>, <a href=\"https:\/\/icrowdnewswire.com\/category\/language\/english\/\" rel=\"category tag\">English<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\" alt=\"image\" width=\"400\" height=\"300\" class=\"cwdfimg\" \/><\/div>\n<div>\n<h3>Contact Information:<\/h3>\n<p>Jon Fingas<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft and Intel have a novel approach to classifying malware: visualizing it. They&rsquo;re&nbsp;collaborating&nbsp;on STAMINA (Static Malware-as-Image Network Analysis), a project that turns rogue code into grayscale images so that a deep learning system can study them. The approach converts the binary form of an input file into a simple stream of pixels, and turns that &hellip; <a href=\"https:\/\/icrowdnewswire.com\/2020\/05\/12\/microsoft-and-intel-turn-malware-into-images-to-help-spot-more-threats-2\/\">Continue reading <span>Microsoft and Intel turn malware into images to help spot more threats<\/span><\/a> <a href=\"https:\/\/ipsnews.net\/business\/2020\/05\/12\/microsoft-and-intel-turn-malware-into-images-to-help-spot-more-threats-2\/\" class=\"more-link\">Continue Reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":19,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,22,54],"tags":[],"class_list":["post-11330","post","type-post","status-publish","format-standard","hentry","category-english","category-united-states","category-wire"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Microsoft and Intel turn malware into images to help spot more threats - Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/ipsnews.net\/business\/2020\/05\/12\/microsoft-and-intel-turn-malware-into-images-to-help-spot-more-threats-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft and Intel turn malware into images to help spot more threats - Business\" \/>\n<meta property=\"og:description\" content=\"Microsoft and Intel have a novel approach to classifying malware: visualizing it. They&rsquo;re&nbsp;collaborating&nbsp;on STAMINA (Static Malware-as-Image Network Analysis), a project that turns rogue code into grayscale images so that a deep learning system can study them. 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They&rsquo;re&nbsp;collaborating&nbsp;on STAMINA (Static Malware-as-Image Network Analysis), a project that turns rogue code into grayscale images so that a deep learning system can study them. 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